Senior Analytics Engineer, GTM

Were in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here you lead with innovative thinking grow along with us and join the smartest team in the industry.

This type of workwork that changes the worldis what the tech industry was founded on. So if youre ready to seize the endless opportunities and leave your mark come join us.

THE ROLE

SHOULD YOU ACCEPT THIS CHALLENGE

The GTM BI team at Pure Storage supports Revenue Operations across pipeline forecasting seller performance and executive reporting and we are at an inflection point.

We are midway through a strategic migration to dbt as our transformation standard. Beyond that our roadmap includes scalable automation frameworks semantic business intelligence and AI-enabled workflows that help surface insights with less manual effort.

As a Senior Analytics Engineer you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations improving quality and engineering standards and enabling the team to operate more efficiently before scaling broader AI-enabled capabilities.

You will partner closely with BI analysts Sales Operations Systems teams and backend engineering partners to modernize how analytics is engineered governed and consumed across the organization. This role is for someone who wants to build not maintain.

WHAT YOULL DO

• Lead and contribute hands-on to the teams dbt and Snowflake modernization initiatives
• Build scalable semantic and metrics layers supporting GTM domains including pipeline forecasting quota attainment and seller performance
• Design and maintain robust ELT/ETL pipelines orchestration workflows and reusable business-facing datasets
• Build CI/CD testing observability lineage and data quality frameworks for analytics engineering workflows
• Ingest and transform data from APIs and GTM systems into curated canonical datasets with strong quality standards
• Drive architecture decisions and establish modern analytics engineering best practices across the team
• Partner closely with BIAs RevOps and Systems teams to translate business problems into scalable data products
• Help automate manual reporting and operational workflows through configurable and scalable frameworks
• Apply AI capabilities to workflow automation operational efficiency and insight generation while helping lay the foundation for future conversational analytics initiatives

WHAT YOULL NEED TO BRING TO THIS ROLE

• 7 years of experience in analytics engineering data engineering or business intelligence
• Strong expertise in SQL Python Snowflake and modern ELT development practices
• Hands-on experience with dbt orchestration workflows and scalable data modeling
• Experience implementing CI/CD automated testing observability and data quality frameworks
• Strong understanding of semantic modeling metrics layers governed metrics and reusable analytics datasets
• Experience using AI to build workflows automate processes improve operational efficiency or support business intelligence use cases
• Ability to influence technical direction while remaining hands-on
• Strong communication and collaboration skills across technical and business teams
• Pragmatic interest in applying AI capabilities to real business workflows over time
• Passion for modernization reporting trust and scalable analytics engineering

PREFERRED EXPERIENCE

• GTM Sales Revenue Operations or forecasting analytics domains
• Salesforce Clari Anaplan Workday or related enterprise systems
• Analytics engineering modernization initiatives
• Self-service analytics ecosystems and semantic layers
• Conversational analytics AI copilots or workflow automation concepts
• Experience migrating legacy SQL or ETL frameworks into modern dbt-based transformation workflows
• Tableau or modern BI visualization platforms

#LI-ONSITE

WHAT YOU CAN EXPECT FROM US:

• Innovation: We celebrate those who think critically like a challenge and aspire to be trailblazers.
• Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortunes Best Workplaces in Technology Fortunes Best Workplaces in the Bay Area and certified as a Great Place to Work!
• Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work we offer a variety of perks to manage a healthy balance including flexible time off wellness resources and company-sponsored team events. Check out for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this contact us at if youre invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

Were forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isnt just accepted but embraced. Thats why we are committed to fostering the growth and development of every person cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.

Bring your bold.

Pure and simple.