What you will do

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Work independently or as part of a team to solve complex data engineering use-cases across a variety of industries
• Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
• Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
• Support the deployment of data science and ML projects into production
  • Note: You will not be developing machine learning models or algorithms

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Lead Data Engineer, you will be expected to work independently on client engagements or to lead small team project delivery, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Experience with managing stakeholders and collaborating with customers
• Strong written and verbal communication skills required
• 5+ years working with relational databases and query languages
• 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 5+ years data modeling (e.g. star schema, entity-relationship)
• 5+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Expertise in software engineering concepts and best practices
• DevOps experience preferred
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
• Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)  preferred
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
• Experience working with Apache Spark preferred
• Experience preparing data for analytics and following a data science workflow to drive business results preferred
• Consulting experience strongly preferred
• Willingness to travel

What you will do

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
• Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
• Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
• Support the deployment of data science and ML projects into production
  • Note: You will not be developing machine learning models or algorithms

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Experience with managing stakeholders and collaborating with customers
• Strong written and verbal communication skills required
• 3+ years working with relational databases and query languages
• 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 3+ years data modeling (e.g. star schema, entity-relationship)
• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Ability to manage an individual workstream independently
• Expertise in software engineering concepts and best practices
• DevOps experience preferred
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)  preferred
• Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)  preferred
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
• Experience working with Apache Spark preferred
• Experience preparing data for analytics and following a data science workflow to drive business results preferred
• Consulting experience strongly preferred
• Willingness to travel

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure.

What you will do:  

As a valued member of our team, you’ll serve as a trusted advisor, collaborating closely with clients across various levels and functions, including data & analytics teams, data owners, analytic users, IT, and C-Suite executives.  You’ll partner with our clients’ leadership teams to understand their business imperatives and craft data & analytics strategy aligned with their goals and addresses data challenges so that data and analytics can drive better business outcomes.  

You will: 

• Lead and effectively project manage analytics strategy engagements and implementation programs 
• Conduct strategic assessments of our clients’ current data landscape, analytics capabilities, and data needs by leading stakeholder interviews and workshops 
• Solve diverse and complex problems across industries and client types
• Collaborate with business stakeholders to identify data needs, security and privacy requirements, and analytical use case opportunities  
• Quantify the business impact of identified use cases and prioritize into a strategic roadmap for delivery 
• Develop analytics strategy project deliverables including frameworks, policies, and presentations to ensure stakeholder alignment and outcomes are achieved 

You will be responsible for outlining strategic recommendations and the business value in addressing data challenges. In collaboration with a data architect, you’ll outline the future state, including definition of critical data domains, future state architecture, and recommendations to ensure our clients establish a strong data foundation. Moreover, you’ll play a pivotal role in shaping practice offerings and assets that drive the analytics strategy sales pipeline, while also leading strategy projects for clients on topics like: 

• Enterprise Analytics Strategy 
• Gen AI Strategy 
• Data Products & Monetization 
• Data Strategy & Governance  

Who we are looking for:

We are looking for strategists who are passionate about the power of data and analytics to transform businesses and deliver value. We are looking for someone who is a strong communicator, problem solver, team player, and can be a trusted advisor to our clients. You can translate complex data and analytics needs into plain English for our clients and provide the business context needed by our Data Engineers, Data Scientists, and Data Analysts to provide solutions that truly meet clients’ needs and delivers value.

You are a driven self-starter who thinks strategically but can also define the practical steps required to execute that strategy successfully.

You are a life-long learner, proactively developing your expertise based on best practices and industry trends, while working to understand the latest analytical applications to paint the art of the possible for our clients.

You possess an entrepreneurial spirit and want to play a role in building our business, growing the team, creating strategic assets, innovating, and being a thought leader in Analytics Strategy.

You pride yourself on delivery excellence and can lead the execution of all types of analytics strategy projects related to our offerings.

• 5+ years of analytics strategy development and execution experience
• 5+ years of consulting experience
• Demonstrated experience leading a large data program or transformative initiatives in a large-scale, complex organization
• Capable of managing multiple stakeholders, priorities, and projects in a fast-paced environment  
• Excellent interpersonal and communication skills (oral, verbal, and listening), including ability to gain alignment from C-suite & executives  
• Proven track record in developing and implementing comprehensive Enterprise Analytics Strategy programs and demonstrated ability to deliver Data Strategy deliverables
• Six Sigma, Define, Measure, Analyze, Improve, and Control (DMAIC), Total Quality Management (TQM) or similar continuous improvement experience preferred
• Ability to lead and manage cross-functional client teams, fostering collaboration and driving high performance
• Working knowledge or experience in
• One or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP
• Multiple Data and Analytics solutions and tools such as dbt, Alteryx, Collibra, Alation, Fivetran, Matillion, Tableau, PowerBI, etc.
• Machine Learning, GenAI and RPA
• Bachelor's degree from an accredited college or university in business administration, computer science, information management, or a related field required; Master’s degree preferred

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our Sandy Springs, GA headquarters.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure.

What you will do:  

As a valued member of our team, you’ll serve as a trusted advisor, collaborating closely with clients across various levels and functions, including data & analytics teams, data owners, analytic users, IT, and C-Suite executives.  You’ll partner with our clients’ leadership teams to understand their business imperatives and craft data & analytics strategy aligned with their goals and addresses data challenges so that data and analytics can drive better business outcomes.  

You will: 

• Lead and effectively project manage analytics strategy engagements and implementation programs 
• Conduct strategic assessments of our clients’ current data landscape, analytics capabilities, and data needs by leading stakeholder interviews and workshops 
• Solve diverse and complex problems across industries and client types
• Collaborate with business stakeholders to identify data needs, security and privacy requirements, and analytical use case opportunities  
• Quantify the business impact of identified use cases and prioritize into a strategic roadmap for delivery 
• Develop analytics strategy project deliverables including frameworks, policies, and presentations to ensure stakeholder alignment and outcomes are achieved 

You will be responsible for outlining strategic recommendations and the business value in addressing data challenges. In collaboration with a data architect, you’ll outline the future state, including definition of critical data domains, future state architecture, and recommendations to ensure our clients establish a strong data foundation. Moreover, you’ll play a pivotal role in shaping practice offerings and assets that drive the analytics strategy sales pipeline, while also leading strategy projects for clients on topics like: 

• Enterprise Analytics Strategy 
• Gen AI Strategy 
• Data Products & Monetization 
• Data Strategy & Governance  

Who we are looking for:

We are looking for strategists who are passionate about the power of data and analytics to transform businesses and deliver value. We are looking for someone who is a strong communicator, problem solver, team player, and can be a trusted advisor to our clients. You can translate complex data and analytics needs into plain English for our clients and provide the business context needed by our Data Engineers, Data Scientists, and Data Analysts to provide solutions that truly meet clients’ needs and delivers value.

You are a driven self-starter who thinks strategically but can also define the practical steps required to execute that strategy successfully.

You are a life-long learner, proactively developing your expertise based on best practices and industry trends, while working to understand the latest analytical applications to paint the art of the possible for our clients.

You possess an entrepreneurial spirit and want to play a role in building our business, growing the team, creating strategic assets, innovating, and being a thought leader in Analytics Strategy.

You pride yourself on delivery excellence and can lead the execution of all types of analytics strategy projects related to our offerings.

• 5+ years of analytics strategy development and execution experience
• 5+ years of consulting experience
• Demonstrated experience leading a large data program or transformative initiatives in a large-scale, complex organization
• Capable of managing multiple stakeholders, priorities, and projects in a fast-paced environment  
• Excellent interpersonal and communication skills (oral, verbal, and listening), including ability to gain alignment from C-suite & executives  
• Proven track record in developing and implementing comprehensive Enterprise Analytics Strategy programs and demonstrated ability to deliver Data Strategy deliverables
• Six Sigma, Define, Measure, Analyze, Improve, and Control (DMAIC), Total Quality Management (TQM) or similar continuous improvement experience preferred
• Ability to lead and manage cross-functional client teams, fostering collaboration and driving high performance
• Working knowledge or experience in
• One or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP
• Multiple Data and Analytics solutions and tools such as dbt, Alteryx, Collibra, Alation, Fivetran, Matillion, Tableau, PowerBI, etc.
• Machine Learning, GenAI and RPA
• Bachelor's degree from an accredited college or university in business administration, computer science, information management, or a related field required; Master’s degree preferred

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our Sandy Springs, GA headquarters.

Are you an accomplished Data Engineer who wants to further grow their Snowflake expertise, develop technical content and presentations, and help build a best-in-class Snowflake community of practice?

Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy. We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft. 

You will:

• Engage in multi-disciplinary teams to deliver complex data & analytics cases on the Snowflake platform, becoming a trusted advisor to our clients from data owners and analytic users to C-level executives
• Serve as a Snowflake subject matter expert for our internal community of technical analytics consultants and as a company ambassador externally
• Contribute to the growth of our partnership with Snowflake in the US as our technical lead
• Create and deliver engaging technical and thought leadership content (e.g., blogs, webinars, whitepapers, presentations) on the latest Snowflake features and best practices
• Build and deliver end-to-end technical tool demonstrations of Snowflake functionality & interoperability for prospective clients and other enablement
• Support channel and sales activities to provide architecture advisory for prospective clients and projects
• Contribute to the development and deployment of Aimpoint’s suite of Industry Solutions and other products on the Snowflake platform

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.  

As a Snowflake Solution Architect, you will also be expected to be able to be contribute as a member of a client engagement delivery team, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. 

Requirements:

• Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience 
• Strong communication and presentation skills, with the ability to engage and educate a technical audience
• Ability to work independently and collaboratively in a fast paced, remote setting

• Passion for technology and a desire to grow and contribute to the Snowflake community
• At minimum a SnowPro Core Certification
• Either:
  • An Advanced SnowPro Certification
  • A portfolio of technical content (blogs, videos, speaking engagements) that demonstrate Snowflake proficiency
• 3+ years working with relational databases and query languages 
• 2+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data 
• 2+ years data modeling (e.g., data vault, star schema, entity-relationship) 
• Expertise in software engineering or DevOps concepts & best practices is preferred
• Willingness to travel

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

What you will do

You will become a trusted advisor working hand-in-hand with our clients, from data owners and analytic users to C-level executives. You will engage in multi-disciplinary teams to deliver complex data / analytic cases across a variety of industries. These cases can range from:

• Strategic assessment of existing infrastructure and business processes
• Designing and developing the analytical layer (data warehouse, data lake, ETL, ELT, etc.)
• Enabling business analysts by understanding their processes and attentively listening to their needs to deliver impactful solutions
• Supporting data scientists and deploying machine learning models into production
  • Note: You will not be developing machine learning models or algorithms
• Optimizing non-performant databases, queries, pipelines, and ML models

Who we are looking for

We are looking for people who deeply understand business problems and enjoy solving them. You are a driven self-starter who loves working with data and transforming it to pull out valuable business insights. You love building analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Experience with managing stakeholders and collaborating with customers
• Strong written and verbal communication skills required
• Experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• Experience with data modeling (e.g. star schema, entity-relationship)
• Ability to write clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Knowledge of software engineering concepts and best practices (DevOps experience is bonus!)
• Familiarity with the cloud, container, query languages, and database technologies (SQL & NoSQL)
• Experience preparing data for analytics and following a data science workflow
• Consulting experience preferred
• Willingness to travel 

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Are you an experienced data architect looking to apply your strategic mindset to help customers transform their analytics using the best modern tools and lead the technical delivery of large-scale infrastructure build projects?

Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy. We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems. Our philosophy towards data engineering is a combination of utilizing cutting-edge tools and techniques while valuing the fundamental principles of our field. What sets us apart is our combination of strategic advice and delivery expertise. In this position, you will be a crucial member in shaping our customer's analytics strategy. You will gain extensive technical knowledge of their current architecture and propose enhancements, from minor tactical modifications to full-scale rearchitecting of their data platform.

You will: 

• Assess existing analytics infrastructure and business processes and advise on best-in-class modern solutions  for customers in a wide range of industries
• Conduct comprehensive evaluations of tools, processes, and personnel to deliver informed recommendations, leveraging your expertise within the field of data analytics.
• Manage and lead comprehensive end-to-end infrastructure builds as part of a project team, including implementing cloud data warehouses, data lakes, ETL/ELT pipelines and orchestration tools
• Engage and lead multi-disciplinary teams, and become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt, and write code in SQL, Python, and Spark
• Maintain a thorough understanding of the complete analytics delivery cycle, including proficiency in the latest tools and trends
• Contribute to external marketing activities including events and conferences, to position Aimpoint Digital as an expert in data platform architecture and a trusted advisor

Who you are 

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.  

As a Strategic Data Platform Architect, you will be expected to own and manage your client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. 

• Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Strong written and verbal communication skills 
• Experience managing stakeholders and collaborating with customers
• Experience designing and delivering large-scale enterprise data architecture projects focusing on the analytic layer, in particular cloud data warehousing and ETL/ELT
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) 
• Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) 
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) 
• Ability to manage an individual workstream independently and ability to manage a full project team
• 5+ years working with relational databases and query languages 
• 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data 
• 5+ years data modelling (e.g., star schema, entity-relationship) 
• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Expertise in software engineering concepts and best practices and/or DevOps 
• Experience working with big data technologies (Spark, Hadoop)
• Advanced certification in Snowflake or Databricks is desirable
• Advanced certification in one or more cloud platforms (AWS, Azure, GCP) is desirable

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Are you an accomplished Data Engineer who wants to further grow their Databricks expertise, develop technical content and presentations, and help build a best-in-class Databricks community of practice?

Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy. We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft. 

You will:

• Engage in multi-disciplinary teams to deliver complex data & analytics cases on the Databricks platform, becoming a trusted advisor to our clients from data owners and analytic users to C-level executives
• Serve as a Databricks subject matter expert for our internal community of technical analytics consultants and as a company ambassador externally
• Contribute to the growth of our partnership with Databricks in the US as our technical lead
• Create and deliver engaging technical and thought leadership content (e.g., blogs, webinars, whitepapers, presentations) on the latest Databricks features and best practices
• Build and deliver end-to-end technical tool demonstrations of Databricks functionality & interoperability for prospective clients and other enablement
• Support channel and sales activities to provide architecture advisory for prospective clients and projects
• Contribute to the development and deployment of Aimpoint products on the Databricks platform

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.  

As a Databricks Solution Architect, you will also be expected to be able to be contribute as a member of a client engagement delivery team, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. 

Requirements:

• Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience 
• Strong communication and presentation skills, with the ability to engage and educate a technical audience
• Ability to work independently and collaboratively in a fast paced, remote & customer facing setting
• Passion for technology and a desire to grow and contribute to the Databricks community
• Deep familiarity with Databricks features including workflows, DLT pipelines, Unity Catalog
• 3+ years working with data warehouses, relational databases and query languages
• 2+ years building data pipelines in databricks using pyspark, scala and/or spark SQL and ability to work across structured, semi-structured and unstructured data
• 2+ years data modeling (e.g., data vault, star schema, entity-relationship)
• Expertise in software engineering or DevOps concepts & best practices is preferred
• Knowledge of Databricks ML and Gen AI features desirable
• Any Databricks certificates are highly regarded
• Willingness to travel

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

What you will do

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Work independently or manage small teams to solve complex data engineering use-cases across a variety of industries
• Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
• Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
• Support the deployment of data science and ML projects into production
  • Note: You will not be developing machine learning models or algorithms

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Lead Data Engineer, you will be expected to work independently on client engagements or to lead small team project delivery, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Experience with managing stakeholders and collaborating with customers
• Strong written and verbal communication skills required
• 5+ years working with relational databases and query languages
• 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 5+ years data modeling (e.g. star schema, entity-relationship)
• 5+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Ability to manage an individual workstream independently and ability to manage a small 1-2 person team
• Expertise in software engineering concepts and best practices
• DevOps experience preferred
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
• Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)  preferred
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
• Experience working with Apache Spark preferred
• Experience preparing data for analytics and following a data science workflow to drive business results preferred
• Consulting experience strongly preferred
• Willingness to travel

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Are you an experienced and accomplished data engineer looking to apply your expertise to solving complex and interesting data and analytics challenges using the best modern tools?

Aimpoint Digital is a fast-growing and fully-remote data and analytics consultancy. We partner with the most innovative software-providers in the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Serve as our Manufacturing subject matter expert for our internal community and as a company ambassador externally, creating industry specific content to augment our brand
• Engage and lead multi-disciplinary teams to solve complex Manufacturing use cases
• Assess existing analytics infrastructure and business processes and advise on best-in-class modern solutions
• Build Manufacturing industry solutions, product offerings, or technical demos to demonstrate proof of value of analytics for our customers
• Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration tools
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt
• Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
• Support the deployment of data science and ML projects into production
  • Note: You will not be developing machine learning models or algorithms

Who we are looking for

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Principal Data Engineer, you will also be expected to be able to own and manage your client engagement, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Strong written and verbal communication skills
• Experience in manufacturing analytics and delivery related use cases
• Experience managing stakeholders and collaborating with customers
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)
• Experience working with ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
• Ability to manage an individual workstream independently and ability to manage a full project team
• 5+ years working with relational databases and query languages
• 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 5+ years data modeling (e.g. star schema, entity-relationship)
• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages is desirable
• Expertise in software engineering concepts and best practices and/or DevOps is desirable
• Experience working with big data technologies (Spark, Hadoop) is desirable
• Experience preparing data for analytics and following a data science workflow to drive business results is desirable

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

What you will do

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
• Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
• Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
• Support the deployment of data science and ML projects into production
  • Note: You will not be developing machine learning models or algorithms

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Experience with managing stakeholders and collaborating with customers
• Strong written and verbal communication skills required
• 3+ years working with relational databases and query languages
• 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 3+ years data modeling (e.g. star schema, entity-relationship)
• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Ability to manage an individual workstream independently
• Expertise in software engineering concepts and best practices
• DevOps experience preferred
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)  preferred
• Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)  preferred
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
• Experience working with Apache Spark preferred
• Experience preparing data for analytics and following a data science workflow to drive business results preferred
• Consulting experience strongly preferred
• Willingness to travel

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights from advanced analytics?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
• Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate the delivery of advanced analytical insights
• Work with best-in-class data platforms such as Snowflake and Databricks and credentialize your skills with certifications
• Write code in SQL, Python, Snowpark, and Spark, and use software engineering best-practices such as Git and CI/CD

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Senior ML Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Experience with managing stakeholders and collaborating with customers
• Strong written and verbal communication skills required
• 3+ years working with relational databases and query languages
• 3+ years supporting the development and deploying machine learning & AI models into production and ability to work across structured, semi-structured and unstructured data
• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
• Ability to manage an individual workstream independently
• Expertise in software engineering concepts and best practices
• MLOps experience required
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) required
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) required
• Experience working with Apache Spark required
• Experience preparing data for analytics and following a data science workflow to drive business results required
• Consulting experience strongly preferred
• Experience working with cloud ETL/ELT tools (Fivetran, Airbyte, dbt, Matillion, Informatica, Talend, etc.)  preferred
• Willingness to travel

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure.

What you will do

As a valued member of our team, you’ll serve as a trusted advisor, collaborating closely with clients across various levels, including data owners, analytic users, and C-Suite executives. You’ll partner with our clients’ leadership teams to understand their business imperatives and craft a data strategy aligned with their goals and supported by robust data governance.

You will:

• Lead and effectively project manage analytics strategy engagements and implementation programs
• Conduct strategic assessments of our clients’ current data landscape, analytics capabilities, and data needs by leading stakeholder interviews and workshops
• Collaborate with business stakeholders to identify data needs, identify security and privacy requirements, and define analytical use cases
• Quantify the business impact of identified use cases and deliver a product roadmap by prioritizing the use cases for delivery
• Develop analytics strategy project deliverables including frameworks, policies, and presentations to ensure stakeholder alignment and outcomes are achieved

In collaboration with a data architect, you’ll define critical data domains, map out future state architecture, and provide recommendations to ensure our clients establish a strong data foundation. Moreover, you’ll play a pivotal role in shaping practice offerings and assets and driving analytics strategy sales pipeline, while also leading strategy projects for clients on topics like:

• Enterprise Analytics Strategy
• Gen AI Strategy
• Data Products & Monetization
• Data Strategy & Governance

As an Engagement Manager with a focus on Data Governance, you will also:

• Design data governance strategies, policies, and frameworks aligned to client’s organizational goals and industry best practices
• Establish, track, and measure data governance adoption in addition to the strategic value of data quality improvements.
• Conduct initial data quality assessments and identify recommendations to improve data accuracy, completeness, and consistency and make the business case for remediation
• Stay current with data privacy regulations and ensure compliance with relevant laws and regulations.

Who we are looking for

We are looking for strategists who are passionate about the power of data and analytics to transform businesses and deliver value. We are looking for someone who is a strong communicator, problem solver, team player, and can be a trusted advisor to our clients. You can translate complex data and analytics needs into plain English for our clients and provide the business context needed by our Data Engineers, Data Scientists, and Data Analysts to provide solutions that truly meet clients’ needs and delivers value.

You are a driven self-starter who thinks strategically but can also define the practical steps required to execute that strategy successfully.

You are a life-long learner, proactively developing your expertise based on best practices and industry trends, while working to understand the latest analytical applications to paint the art of the possible for our clients.

You possess an entrepreneurial spirit and want to play a role in building our business, growing the team, creating strategic assets, innovating, and being a thought leader in Data Strategy & Data Governance.

You pride yourself on delivery excellence and can lead the execution of all types of analytics strategy projects related to our offerings.

• 5+ years of analytics strategy development and execution experience
• 3+ years of consulting experience
• 5+ years of recent experience leading or executing Data Strategy & Data Governance initiatives in a large-scale, complex organization
• Proven track record in developing and implementing comprehensive data governance programs and demonstrated ability to deliver Data Strategy deliverables
• Six Sigma, Define, Measure, Analyze, Improve, and Control (DMAIC), Total Quality Management (TQM) or similar continuous improvement experience preferred
• Exceptional interpersonal and communication skills, with the ability to effectively engage and influence stakeholders at all levels
• Ability to lead and manage cross-functional client teams, fostering collaboration and driving high performance
• Working knowledge and experience in
  • one or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP
  • multiple Data and Analytics solutions and tools such as dbt, Alteryx, Collibra, Alation, Fivetran, Matillion, Tableau, PowerBI, etc.
  • Machine Learning and RPA
• Bachelor's degree from an accredited college or university in business administration, computer science, information management, or a related field required; Master’s degree preferred

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our Sandy Springs, GA headquarters.

Are you an experienced and accomplished data engineer looking to apply your expertise to solving complex and interesting data and analytics challenges using the best modern tools? Are you looking to help build a new team and bring the Aimpoint Digital brand to a new market?

Aimpoint Digital is a fast-growing and fully-remote data and analytics consultancy in the United States and United Kingdom. We partner with the most innovative software-providers in the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft. We are looking to build a new team of top-tier data engineers in Latin America that can help us continue to support our clients and grow our brand across the globe.

Location: Medellin, Colombia

You will:

• Work with the Head of Data Engineering Services - LATAM and Aimpoint Digital Leadership to define the strategy and growth in the LATAM market
• Collaborate with a global team to deliver innovative solutions to our US client-base
• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Engage and lead multi-disciplinary teams to solve complex use-cases across a variety of industries
• Assess existing analytics infrastructure and business processes and advise on best-in-class modern solutions
• Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration tools
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt
• Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
• Support the deployment of data science and ML projects into production
  • Note: You will not be developing machine learning models or algorithms

Who we are looking for

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Principal Data Engineer, you will also be expected to be able to own and manage your client engagement, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

• Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Strong English written and verbal communication skills
• Experience managing stakeholders and collaborating with US based customers
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)
• Experience working with ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
• 5+ years working with relational databases and query languages
• 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 5+ years data modeling (e.g. star schema, entity-relationship)
• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages is desirable
• Expertise in software engineering concepts and best practices and/or DevOps is desirable
• Experience working with big data technologies (Spark, Hadoop) is desirable
• Experience preparing data for analytics and following a data science workflow to drive business results is desirable
• Must live in Medellin, Colombia or be willing to relocate to Medellin

Aimpoint Digital is a remote-first market leading analytics, decision sciences, data engineering, and AI advisory and solution engineering firm with a global reach and a mission to drive business outcomes for organizations through data.

Aimpoint Digital partners with leading-edge platforms, including Snowflake, Dataiku, Gurobi, Sigma, Tableau and Databricks.

We seek an experienced sales leader to support our West Coast expansion objectives.

A successful track record in consulting or enterprise software sales is preferred.

What you will do

• Your primary responsibility will be to drive commercial value for the firm in the US, with a core focus on the West Coast market, leading business growth opportunities, setting and delivering on sales and marketing strategies
• You will work with senior stakeholders to understand their processes, problems and objectives to create business value through applications of AI, operations research, data engineering, analytics process automation, and data visualization.
• You will work with our innovative partners to jointly go to market on opportunities with our combined value proposition.
• You will work with our diverse team of talented and motivated people to craft compelling sales and pre-sales offerings, proposals, demos and presentations to take to market.
• You will move opportunities through our sales cycle, prepare and submit weekly internal BD status updates
• Attend technology conferences to represent our brand to drive net new opportunities

Required qualifications/experience

• At least 5+ years of professional experience in enterprise software or consulting sales, with evidence of exceeding sales targets
• A track record of qualifying and closing consulting and product sales
• The ability to build long-term strategic relationships with our colleagues, clients and partners to manage diverse sales cycles
• The desire to grow our already strong relationships with our key technology partners
• Excellent interpersonal skills, compelling written communication and convincing verbal skills to deliver world-class proposals and presentations
• Effective time management to prioritize what's important to you and to the firm and to seamlessly manage multiple clients and opportunities
• Self-motivation to drive value for yourself, the firm, your colleagues and your clients
• Book of business or existing relationships across at least one of our key verticals: digital natives, gaming, sports analytics, manufacturing, life sciences & healthcare, financial services & insurance and retail & FMCG
• Previous experience in a technical or sales role with one of our key partners

What's in it for you?

• The opportunity to shape the commercial function of a fast-growing, world class advisory and solution development firm
• An attractive salary and OTE incentive plan based on skill, experience & performance
• Flexible time off
• Full benefits
• Potential for stock options based on performance

This position is fully-remote; however, applicants must live on the west coast and be willing to travel.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure. This position is within our analytics practice which focuses on analytics process automation, data visualization and statistical analyses.

What you will do

You will work with stakeholders across all levels of an organization to determine how to create business value through analytics process automation, data visualization and statistical analyses. You will use your expertise to lead the building of minimum viable products, production applications and/or large strategic analytics initiatives to optimize value from analytics platform investments. Principal Analytics Consultants will lead project work and team members, manage client relationships, identify new business opportunities and drive internal initiatives.

Tools you will frequently consult on include Dataiku, Alteryx, Tableau, Power BI/Power Platform and Sigma Computing. Depending on the needs of the client you may also consult on SQL and Python and work with cloud services such as AWS and Azure as well as modern database technologies such as Snowflake and Databricks.

Who we are looking for

We are looking for teammates who enjoy problem solving and want to work with some of the world's leading organizations. You should love working with data, transforming it to pull out valuable business insights and communicating the what and the why to client stakeholders. You have experience leading projects, initiatives, and/or people. You have excellent communications skills and understanding of how data can drive value within a business. This role is a hybrid role with the majority focus on leading projects, but requires deep technical expertise to coach team members and directly solution complex use cases.

• Expert in data analysis, statistics, and/or data visualization
• Deep expertise with at least one of: Dataiku, Alteryx, SQL or Python
• 7+ years analytics experience
• 3+ years consulting experience (preferred)
• Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives and people
• Strong business acumen
• Team players who are comfortable working independently 
• Excellent problem-solving skills 
• Strong written and verbal communication skills 
• Professional attitude and strong work ethic
• Desire to work in a fast-paced environment balancing multiple priorities
• Knowledge of Tableau, Power BI, or other data visualization platforms (preferred) 
• Experience working with relational database technologies such as Microsoft SQL Server, Oracle, Redshift, or Snowflake (plus) 
• Experience working with cloud infrastructure platforms such as AWS, Microsoft Azure, or Google Cloud Platform (plus) 

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure. This position is within our analytics practice which focuses on analytics process automation, data visualization and statistical analyses.

What you will do

You will work with stakeholders across all levels of an organization to determine how to create business value through analytics process automation, data visualization and statistical analyses. You will use your expertise to build minimum viable products, production applications and/or enable organizations with the necessary skills through training and coaching. Senior Analytics Consultants will execute project work independently with guidance.

Tools you will frequently use include Dataiku, Alteryx, Tableau, Power BI/Power Platform and Sigma Computing. Depending on the needs of the client you may also use SQL and Python and work with cloud services such as AWS and Azure as well as modern database technologies such as Snowflake and Databricks.

Who we are looking for

We are looking for teammates who enjoy problem solving and want to work with some of the world's leading organizations. You should love working with data, transforming it to pull out valuable business insights and communicating the what and the why to client stakeholders. You love building analytical tools that business users can leverage daily to do their jobs better. You enjoy helping business analysts better understand data and how to use analytical tools.

• 5+ years in data analysis, statistics, and/or data visualization
• 3+ years experience and deep expertise with at least one of: Dataiku, Alteryx, SQL or Python
• Strong business acumen
• Team players who are comfortable working independently 
• Excellent problem-solving skills 
• Strong written and verbal communication skills 
• Professional attitude and strong work ethic
• Desire to work in a fast-paced environment balancing multiple priorities
• Knowledge of Tableau, Power BI, or other data visualization platforms (preferred) 
• Experience working with relational database technologies such as Microsoft SQL Server, Oracle, Redshift, or Snowflake (plus) 
• Experience working with cloud infrastructure platforms such as AWS, Microsoft Azure, or Google Cloud Platform (plus) 

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.