Senior Analytics Engineer: Modern Data Platforms & AI

Pure Storage, Inc.; Santa Clara (CA); On-site; 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

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