We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Our Sales Engineering organization is seeking an Architect, Machine Learning Enterprise Field CTO focused on Machine Learning to join our Enterprise Field CTO team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.

As an Architect focused on Machine Learning you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform 
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Provide architectural guidance & hands-on support for strategic enterprise pilots / proof-of-concepts around Snowflake’s AI & ML capabilities. . 
• Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 3+ years of experience building and deploying machine learning solutions in the cloud 
• Deep technical hands on expertise within Data Science tools and ecosystem 
• 2+ years of working with cloud native ML tools 
• Strong presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Working knowledge with data engineering technologies and tools(dbt, Airflow, etc)
• Deep level knowledge of Data Science and ML fundamentals
• Working knowledge of deep learning concepts, techniques, and tools(Pytorch, Tensorflow, etc). 
• 2+ years experience building and deploying ML/data engineering applications and solutions on Spark
• Advanced knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Introductory familiarity with LLM developer tools like langchain, llamaindex. 
• Working knowledge of SQL, R, Scala and / or other scripting languages
• Industry Focus a plus  (Education, Federal, Financial Services, Healthcare & Lifesciences, Insurance, Adv. Media, Retail CPG, Technology and Telecom)
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada 

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
• Collaborate with PM to translate customer needs to ML solutions

• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or MS in Computer Science or other relevant field
• 4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience deploying and iteratively refining models using customer feedback loops
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch 
• Expertise optimizing distributed model training with GPUs

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada and US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
• Collaborate with PM to translate customer needs to ML solutions

• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or MS in Computer Science or other relevant field
• 4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience deploying and iteratively refining models using customer feedback loops
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch 
• Expertise optimizing distributed model training with GPUs

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada and US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will:

• Design and implement scalable machine learning infrastructure using Ray to support model training, deployment, and inference at scale
• Leverage Kubernetes for orchestration of containerized applications, ensuring seamless deployment, scaling, and management of ML models and associated services
• Develop and maintain CI/CD pipelines for automated testing, deployment, and management of ML applications and infrastructure
• Implement robust monitoring, logging, and alerting systems to ensure high availability, performance, and security of the ML platform
• Collaborate with data scientists and ML engineers to optimize data pipelines and model performance
• Stay abreast of the latest advancements in machine learning technologies and infrastructure, and advocate for the adoption of best practices and new technologies within the team
• Provide DevOps/SRE support for the ML platform, including incident response, performance tuning, and disaster recovery planning
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or  MS in Computer Science or other relevant field
• 6+ years experience as an Machine Learning Engineer or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) and security best practices for ML platforms

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Strong experience with Ray for distributed machine learning, Kubernetes for container orchestration, and Docker for containerization
• Solid understanding of DevOps and SRE principles, including experience with CI/CD tools (e.g., Jenkins, GitLab CI), infrastructure as code (e.g., Terraform, Ansible), and cloud services (AWS, GCP, Azure).

EquipmentShare is Hiring a Telematics Software Engineer 

At EquipmentShare, we believe it’s more than just a job, we invest in our people and encourage you to choose the best path for your career. It’s truly about you, your future and where you want to go.

We are looking for a Software Engineer(backend) to help us continue to build the next evolution of our platform in a scalable, performant and customer-centric oriented architecture.

Our main tech stack includes : AWS, Kubernetes, Python, Kafka, PostgreSQL, DynamoDB, and Kinesis

If you haveproduction scale experience in a different stack (Go, Java, TypeScript, Scala, C#, TypeScript, etc.) and are interested in moving to a new stack, we should chat.

What you'll be doing

We are typically organized into agile cross-functional teams composed of Engineering, Product and Design, which allows us to develop deep expertise and rapidly deliver high value features and functionality to our next generation T3 Platform.

You’ll work closely with a team of Engineers to build and maintain our cloud native event ingestion and processing architecture built on AWS. These systems serve ourIoT and SaaS customers to provideanalytics, real time alerting and logistics features.

Your team sits at the nexus of high volume message ingestion, hardware deployment logistics and R&D.  Developing the integrations for the next generation of hardware deployment, ensuring high availability and consistent processing performance.  

We'll be there to support you as you become familiar with our teams, product domains, tech stack and processes — generally how we all work together.

As a Software Engineer III you will 

• Help design, build and deliver the services and domains that power our platform — shaping the product features andcapabilities that underpin our platform.
• Manage large, complex systems operating real-time, big data pipeline processing and intra-processed messaging.
• Analyze component, asset, back-end network logs and telecommunications to confirm system performance using proprietary logging and network tools.
• Review requirements and specification documents as well as architecture and design documentation of telematics systems.  Balancing the desire to ship code with the responsibility to get it right.
• Contribute to our culture improving how we deliver as a team.  Helping us to leave things better than we find them and making it easier for us to get stuff done.
• Collaborate with Engineers on our team by sharing your insight, knowledge and experience as welearn and grow together.

Who you are

You're a hands-on developer who gets stuck in, you enjoy solving complex problems and building impactful solutions.  Most importantly, you care about making a difference.

• Take the initiative to own outcomes from start to finish — knowing what needs to be accomplished within your domain and how we work together to deliver the best solution.
• You have a passion for developing your craft — you understand what it takes to build quality, robust and scalable solutions.
• You’ll see the learning opportunity when things don’t quite go to plan — not only for you, but for how we continuously improve as a team.
• You take a hypothesis-driven approach — knowing how to source, create and leverage data to inform decision making, using data to drive how we improve, to shape how we evaluate and make platform recommendations.

So, what is important to us?

Above all, you’ll get stuff done. More importantly, you’ll collaborate to do the right things, in the right wayto achieve the right outcomes.

• Proficient with a high order object oriented language. (especially Python - open to Go, Java, Scala, C# etc.)
• 4+ years of relevant development experience building production grade solutions.
• Delivery focused with solid exposure to event driven architectures and high volume data processing.
• Practical exposure of CI/CD pipelines for your production services.
• Familiarity with public cloud service platforms.
• Experience partnering and collaborating with remote teams (across different time zones).
• Proven track record in learning new technologies and applying that learning quickly.
• Experience building observability and monitoring into applications.

Some of the things that would be nice to have, but not required:

• Familiar with containerisation and Kubernetes.
• Practical production knowledge of service oriented architectures.
• Experience with streaming technologies. (AWS Kinesis, Kafka, etc.)

What we will offer you

We can promise that every day will be a little different with new ideas, challenges and rewards.

We’ve been growing as a team and we are not finished just yet— there is plenty of opportunity to shape how we deliver together.

Our missionis to enable the construction industry with tools that unlock substantial increases to productivity. Together with our team and customers, we are building the future of construction.

T3is the only cloud-based operating system that brings together construction workflows & data from constantly moving elements in one place.

• Competitive base salary and market leading equity package (pre-IPO).
• Unlimited PTO.
• Remote first.
• True work/life balance.
• Medical, Dental, Vision and Life Insurance coverage.
• 401(k) + match.
• Opportunities for career and professional development with conferences, events, seminars and continued education.
• On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more!
• Volunteering and local charity support that help you nurture and grow the communities you call home through our Giving Back initiative.
• Stocked breakroom and full kitchen with breakfast and lunch provided daily by our chef and kitchen crew.

We embrace diversity in all of its forms and foster an inclusive environment for all people to do their best work with us. 

We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.

All appointments will be made on merit.

#LI-Remote

Solutions Architect (Azure) 

Remote 

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

What will I be doing? 

Blueprint is looking for a Solutions Architect to join us as we build cutting-edge technology solutions!  Our team is looking for a talented engineering/architect leader with a strong background in building robust and scalable solutions in data warehousing, ETL, big data/analytics, data science, and cloud platforms. This includes architectural design sessions, project implementation responsibilities and/or MVP’s,(Minimal Viable Product) or Poof of Concept The ideal candidate will have built and led data engineering teams in a dynamic, fast-paced business environment.    

 Responsibilities: 

• Positioned as the Primary Architecture-Engagement-Lead from an Architecture, Vision/Completeness perspective on engagements. A Technological Evangelist Who Drives/owns the overall solution envisioned for the client.
• Lead the definition of processes, standards & guidelines for architecting data platforms, Data Estates and modern ELT/ETL, Compute, Storage, Consumption for BI, and Data Science workloads as part of the Architecture function.
• Support delivery teams as a senior technical leader in a hands-on capacity to remove blockers to progress by creating demos, proofs of concepts, and troubleshooting with other engineers.
• Coach clients in adopting technology to solve their core business needs and issues relating to data, Bi, data science, and analytics services
• Desire to become the go-to resource for our clients through increasing your knowledge and approach with new and existing technologies 
• Comfortable leading collaboration with both internal and external stakeholders 
• Ability to quickly understand client’s business needs, make impactful recommendations and adjust accordingly to needs as they change
• Define architecture roadmaps with the ability to design a phased approach to completion while considering pre-existing, legacy challenges
• Demonstrated experience in cloud architecture and technologies 
• Aid in defining the scope of work and drafting proposals and contracts sent to clients for new business
• Builds & maintains Blueprint’s lab/demo environment, with working demonstrations on data estate patterns & concepts, g. Databricks, ELT, Streaming, BI and Data Analytics

Qualifications: 

• 5+ years of experience in the design and implementation of large-scale data platforms/solutions using Microsoft Azure
• Expert knowledge of Azure services with a focus on Modern Data Solutions and Frameworks, adapters/connectors, and orchestration components
• Experience with Databricks or Synapse and associated languages such as (Python, SQL, Scala, etc.)
• Demonstrated experience in designing and building cloud and hybrid solutions that run on Azure, including: (Compute, Network, Storage, Monitoring, Security.)
• Expert knowledge of the following Azure services: Azure DevOps, Blob Storage, Virtual Machines, Logic Apps, API Management, Azure Synapse Analytics, AAD, Azure Data Factory.
• 5+ years of experience in SQL, data transformations, migration, statistical analysis, and troubleshooting across more than one Database Platform (Oracle, PostgreSQL, Redshift, SQL).
• Work effectively in a Software development team leveraging agile tools like DevOps, Jira, Confluence, GitHub, GitHub Actions, Slack, etc.
• 5+ Years’ experience with Enterprise data warehousing, ETL, and BI services.
• 3+ Years’ experience in Cloud data and modern data management patterns supporting data warehousing and data lake architectures.
• Understanding & appreciation of modern data platforms and integration services.
• Understanding & Appreciation for modern approaches & platforms for data quality, data governance, and cataloging services, CDC, append-only, streaming, incremental data acquisition, and data mart/fact-dimension design techniques.
• Proven ability to build and manage executive-level client relationships
• Strong communicator with an evidence-based mindset to developing customer experience
• Goal and results-focused, with a mindset of getting to done and delivering customer value; focus on speed-to-value in all activities
• Proactive self-starter who can thrive in flat organizations and ambiguous situations

Salary Range 

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $160,700 to $234,800 USD/annually. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range. 

Equal Opportunity Employer 

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. 

If you need assistance or a reasonable accommodation to complete the application process, please reach out to:recruiting@bpcs.com 

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: 

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Personal paid Volunteer time to support our community
• Opportunities for professional growth and development

About the Role: 

We are looking for a curious and enthusiastic Data Scientist Intern to join our Ad Product team for the summer. You will work cross-functionally to help ensure that major decisions are data-driven. You will be supported by a close-knit team of Data Scientists and Analysts and will have an opportunity to drive and collaborate on projects end-to-end. Your insights will have a direct impact on the future of Tubi.

What You'll Do:

• Uncover insights and create data visualizations to ensure data-driven decision-making
• Build and maintain high-quality data infrastructure that is easily used by less technical audiences
• Collaborate closely with product managers and engineers to understand experimentation requirements and enhance the scope and depth of experimentation across business units 
• Build internal data tools to improve productivity for your team and stakeholders
• Receive guidance/mentorship from senior team members

Qualifications: 

• SQL and a scripting programming language (Python, R, or Scala)
• Experience with data visualization and dashboarding tools (Tableau, Periscope, or others)
• Experience with product analytics and working with event-level data
• Strong communication, presentation, and collaboration skills
• Video streaming industry experience is a plus

Program Eligibility Requirements:

• Must be actively enrolled in an accredited college or university and pursuing an undergraduate degree during the length of the program
• Current class standing of sophomore (second-year college student) or above
• Strong academic record (minimum cumulative 3.0 GPA)
• Committed and available to work for the entire length of the program

About the Program:

• Application Deadline: April 19, 2024 
• Program Timeline: 8-week placement, beginning on 6/3
• Weekly Hours: Up to 40 hours per week (5 days)
• Worksite: Remote

About the Role:

At Tubi, data plays a vital role in keeping viewers engaged and the business thriving. Every day, data engineering pipelines analyze the massive amount of data generated by millions of viewers, turning it into actionable insights. In addition to processing TBs a day of 1st party user activity data, we manage a petabyte scale data lake and data warehouses that several hundred consumers use daily. We have two openings on two different teams.

Core Data Engineering (1):In this role, you will join a team focused on Core Data Engineering, helping build and analyze business-critical datasets that fuel Tubi's success as a leading streaming platform.

• Use SQL and SQL modeling to interact with and create massive sets of data
• Use DBT and its semantic modeling concept to build production data models
• Use Databricks as a data warehouse and computing platform
• Use Python/Scala in notebooks to interact with and create large datasets

Streaming Analytics (1):In this role you will join a small and nimble team focused on Streaming Analytics that power our core and critical datasets for machine learning, helping improve the data quality that fuels Tubi's success as a leading streaming platform.

• Use SQL to explore and analyze the data quality of our most critical datasets, working with different technical stakeholders across ML & data science 
• Work with engineers to implement a near-time data quality dashboard
• Use Python/Scala in notebooks to transform and explore large datasets
• Use tools like Airflow for workflow management and Terraform for cloud infrastructure automation

Qualifications: 

• Fluency (intermediate) in one major programming language (preferably Python, Scala, or Java) and SQL (any variant)
• Familiar with big data technologies (e.g., Apache Spark, Kafka) is a plus
• Strong communication skills and a desire to learn!

Program Eligibility Requirements:

• Must be actively enrolled in an accredited college or university and pursuing an undergraduate or graduate degree during the length of the program
• Current class standing of sophomore (second-year college student) or above
• Strong academic record (minimum cumulative 3.0 GPA)
• Committed and available to work for the entire length of the program

About the Program:

• Application Deadline: April 19, 2024 
• Program Timeline: 10-week placement beginning on6/17
• Weekly Hours: Up to 40 hours per week (5 days)
• Worksite:  Remote or Hybrid (SF or LA)

Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers’ success. We form partnerships with customers by listening, learning, and building connections.  

Snowflake’s values are key to our approach and success in delivering world-class Support.  Putting customers first, acting with integrity, owning initiative and accountability, and getting it done are Snowflake core values and are reflected in everything we do.

Snowflake’s Support team is expanding! We are looking for a Senior Cloud Support Engineerwho likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking.

MANDATORY REQUIREMENTS FOR THE ROLE:

• The position may require access to U.S. export-controlled technologies, technical data, or sensitive government data.
• Employment with Snowflake is contingent on Snowflake verifying that you: (i) may legally access U.S. export-controlled technologies, technical data, or sensitive government data; or (ii) are eligible to obtain, in a timely manner, any necessary license or other authorization(s) from the U.S. Government to allow access to U.S. export-controlled technology, technical data, or sensitive government data.

SPECIAL REQUIREMENTS:

• Participate in pager duty rotations during nights, weekends, and holidays
• Applicants should be flexible with schedule changes to meet business needs

As aSenior Cloud  Support Engineer, your role is to delight our customers with your passion and knowledge of the Snowflake Cloud Data Platform.  Customers will look to you for technical guidance and for advice in addressing their product usage and issue needs.  You will be the voice of the customer into Snowflake’s product and engineering teams for product feedback and improvements.  You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements.  Ideally, you have worked in a 24x7 environment, handled all tiers of support issues, been on-call during weekends, and are familiar with Salesforce Service Cloud.

Based on business needs, you may be assigned to work with one or more Snowflake Priority Support customers.You will develop a strong understanding of the customer’s use case and how they leverage the Snowflake platform. You will deliver exceptional service, enabling them to achieve the highest levels of continuity and performance from their Snowflake implementation.

YOU WILL:

• Provide email, web, and phone support to Snowflake customers and partners
• Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues 
• Document known solutions to internal and external knowledge base
• Submit well-documented bugs and feature requests arising from customer submitted requests and work with Engineering towards a resolution. 
• Work on technical and non-technical projects
• Provide support coverage during holidays and weekends based on business needs
• This will be a First Shift weekend role. Hours: Saturday - Wednesday 7am - 4pm PST.

OUR IDEAL SENIOR CLOUD SUPPORT ENGINEER WILL HAVE:

• Bachelor's or Master's degree in Computer Science or equivalent discipline
• 5+ years experience in a Technical Support environment or a similar technical function in a customer-facing role
• Experience in a designated customer-focused support role providing a personalized support experience with a deeper knowledge of customer environment
• Good understanding of Amazon AWS (SQS, SNS, API Gateway, S3, Route 53) and/or similar services in Microsoft Azure ecosystems, Google Cloud
• Experience in ETL, ELT tools like AWS Glue, EMR, Azure Data Factory, Informatica, Data Pipelines
• Experience in Spark, Kafka systems
• Experience in using 3rd Party troubleshooting tools like Wireshark, Fiddler, Process Monitor/Explorer
• Experience in analyzing the tcpdump, Fiddler Trace. Capturing the heap dump and analyzing the heap dump
• Capturing the Stack trace and analyzing the trace
• Foundational SQL experience/usage
• Experience troubleshooting database connectivity issues using a variety of methods (client software, drivers/connectors)
• Experience in Configuring/Troubleshooting Drivers like ODBC, JDBC, GO, .Net 
• Excellent ability to troubleshoot on a variety of operating systems (Windows, Mac, *Nix) 
• Good understanding of the technical fundamentals of the Internet. You should have knowledge of internet protocols such as TCP/IP, HTTP/S, SFTP, DNS as well as the ability to use diagnostic tools to troubleshoot connectivity issues
• Debugging / Development experience in  Python, Java or Scala 
• Excellent writing and communication skills in English with an attention to detail
• Strong teaming skills in a highly collaborative environment and the ability to function in global arenas

NICE TO HAVES:

• Experience working with big data and/or MPP (massively parallel processing) databases
• Understanding of Data Warehousing fundamentals and concepts
• Database migration and ETL experience
• Scripting/coding experience In any of the following: .Net, NodeJS, R, GO
• Experience supporting applications running on either Amazon AWS or MS Azure
• Experience with virtualization solutions (VMware, Docker, Virtualbox, etc)
• Understanding of cloud computing security concepts

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL :