Senior Analytics Engineer, GTM

Full Timesenior

Santa Clara, CaliforniaPosted 15 days ago

Role Overview

Pure Storage is hiring a Senior Analytics Engineer, GTM. This is a full-time role in Santa Clara, California. Part of Pure Storage's Backend hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Backend roles is $165k-$210k (based on 49 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLSnowflakedbtCI/CDSalesforcePipelineForecasting

Job description

We’re 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 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

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 YOU’LL DO…

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

WHAT YOU’LL 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 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 purebenefits.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 TA-Ops@purestorage.com 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.

About Pure Storage

Pure Storage

purestorage.com

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Frequently Asked Questions

How do I apply for the Senior Analytics Engineer, GTM position at Pure Storage?

Use the Apply button above to submit your application directly to Pure Storage. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Analytics Engineer, GTM position at Pure Storage located?

This position is based in Santa Clara, California. Pure Storage has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Analytics Engineer, GTM at Pure Storage earn?

Pure Storage has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Analytics Engineer, GTM role at Pure Storage posted?

This role was posted on June 27, 2026 (15 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Analytics Engineer, GTM role at Pure Storage require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Pure Storage lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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