Pure Storage

Senior Analytics Engineer, GTM

Pure Storage$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years experience in analytics engineering, data engineering, or business intelligence
  • Strong expertise in SQL, Python, Snowflake, and modern ELT practices
  • Hands-on experience with dbt, orchestration workflows, and data modeling
  • Experience with CI/CD, automated testing, observability, and data quality frameworks
  • Knowledge of semantic modeling and reusable analytics datasets
  • Experience applying AI for workflow automation and efficiency
  • Ability to influence technical direction while remaining hands-on

Responsibilities

  • Lead initiatives for dbt and Snowflake modernization
  • Build scalable semantic metrics layers for GTM domains
  • Design and maintain robust ELT/ETL pipelines and workflows
  • Establish CI/CD, testing, observability, and data quality frameworks
  • Transform data from APIs and GTM systems into curated datasets
  • Drive architecture decisions and best practices in analytics engineering
  • Collaborate with teams to translate business needs into data products
  • Automate reporting and operational workflows through scalable frameworks
  • Integrate AI capabilities into workflow automation and insight generation

Benefits

  • Opportunities for innovation and critical thinking
  • Support for personal growth and contribution to meaningful work
  • Recognition as one of Fortune's Best Workplaces in Technology and the Bay Area
  • Team-oriented culture that encourages collaboration
  • Flexible time off and wellness resources
  • Company-sponsored team events for employee engagement
Full Job Description
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.

About Pure Storage

Pure Storage is a data storage company that provides all-flash storage solutions. The company was founded in 2009 and is headquartered in Mountain View, California. Pure Storage's products are designed to help businesses manage and store large amounts of data. The company has over 7,000 customers and operates in over 40 countries. Pure Storage went public in 2015 and is listed on the New York Stock Exchange under the ticker symbol PSTG.
Learn more about Pure Storage
Size
4,300 employees
Market Cap
$8 billion
Industry
Net Income
-$282 million
Founded
2009
5 Year Trend
+24.2%
Revenue
$1.6 billion
NASDAQ

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