Senior Analytics Engineer, GTM

About the role

We are in an unbelievably exciting area of tech and 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 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. You will help drive that journey end-to-end by leading and contributing hands-on to the team's dbt and Snowflake modernization initiatives.

Location: USA

Engagement: Full-time

What you'll do

You will lead and contribute hands-on to the team's dbt and Snowflake modernization initiatives. You will build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance. You will design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets.

You will build CI/CD, testing, observability, lineage, and data quality frameworks for analytics engineering workflows. You will ingest and transform data from APIs and GTM systems into curated canonical datasets with strong quality standards. You will drive architecture decisions and establish modern analytics engineering best practices across the team.

You will partner closely with BIAs, RevOps, and Systems teams to translate business problems into scalable data products. You will help automate manual reporting and operational workflows through configurable and scalable frameworks. You will apply AI capabilities to workflow automation, operational efficiency, and insight generation, while helping lay the foundation for future conversational analytics initiatives.

Requirements

You bring 7+ years of experience in analytics engineering, data engineering, or business intelligence. You have strong expertise in SQL, Python, Snowflake, and modern ELT development practices. You have hands-on experience with dbt, orchestration workflows, and scalable data modeling.

You have experience implementing CI/CD, automated testing, observability, and data quality frameworks. You have a strong understanding of semantic modeling, metrics layers, governed metrics, and reusable analytics datasets. You have experience using AI to build workflows, automate processes, improve operational efficiency, or support business intelligence use cases.

You demonstrate the ability to influence technical direction while remaining hands-on. You possess strong communication and collaboration skills across technical and business teams. You show a pragmatic interest in applying AI capabilities to real business workflows over time. You have a passion for modernization, reporting trust, and scalable analytics engineering.

Preferred Experience

You have experience in GTM, Sales, Revenue Operations, or forecasting analytics domains. You have worked with Salesforce, Clari, Anaplan, Workday, or related enterprise systems. You have led analytics engineering modernization initiatives. You have built self-service analytics ecosystems and semantic layers. You have experience with conversational analytics, AI copilots, or workflow automation concepts. You have migrated legacy SQL or ETL frameworks into modern dbt-based transformation workflows. You have used Tableau or modern BI visualization platforms.

Practical notes

#LI-ONSITE

We're in an unbelievably exciting area of tech and 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.