Pure Storage

Senior Analytics Engineer, GTM

Santa Clara, California · Senior

Sponsorship not specifiedDetected 25 days ago

PythonSQLSnowflakeCI/CDdbtData EngineeringData VisualizationAccessibilitySalesforceSalesForecastingHRISTest AutomationCommunicationCollaboration

About the role

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.
Ingest and transform data from APIs and GTM systems into curated canonical datasets with strong quality standards

We give you the space and support to grow along with us and to contribute to something meaningful.
As a Senior Analytics Engineer, you will help drive that journey end-to-end.
This role is for someone who wants to build - not maintain.
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
Drive architecture decisions and establish modern analytics engineering best practices across the team
We build each other up and set aside ego for the greater good.

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
Ability to influence technical direction while remaining hands-on

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

Help automate manual reporting and operational workflows through configurable and scalable frameworks

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.
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.
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.

This listing is sourced directly from Pure Storage's careers page and normalized into a canonical job model.