Senior Analytics Engineer, GTM

Pure Storage, Inc.; Santa Clara (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible time off

Wellness resources

Team events

Job summary

Pure Storage, Inc. is seeking a Senior Analytics Engineer to drive modernization of analytics foundations, focusing on dbt and Snowflake implementations.

You will collaborate with BI analysts, RevOps, and systems teams to codify scalable data products and robust data pipelines that unlock AI-enabled insights across GTM domains. Ideal candidates have deep SQL/Python skills and hands-on experience with modern ELT development, CI/CD, and data quality frameworks, enabling scalable, trusted analytics

Qualifications

• 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.

Responsibilities

• Lead and contribute hands-on to the team’s 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.

Skills

SQL

Python

Snowflake

dbt

ELT development

CI/CD

Data modeling

Analytics engineering

AI workflows

Semantics modeling

Tools

dbt

Snowflake

Job description

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

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.

• Lead and contribute hands-on to the team’s 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
• 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
• 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 Fortune's Best Workplaces in Technology™, Fortune's 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 http://benefits.everpuredata.com/ 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 [e-mail] if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s 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.