Senior Analytics Engineer — Build Scalable Data & AI Pipelines

Pentair; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible time off

Wellness resources

Company-sponsored team events

Job summary

Pure Storage in Santa Clara, CA is seeking a Senior Analytics Engineer to drive modernization of analytics, build scalable dbt foundations, and enable AI-enabled workflows. You will partner with BI analysts, RevOps, and backend teams to deliver scalable data products and automated insights.

You will design robust ELT/ETL pipelines, develop semantic layers for GTM domains, and advance analytics engineering practices while shaping future AI-enabled capabilities.

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.

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
• 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

Skills

SQL

Python

Snowflake

dbt

ETL/ELT

CI/CD

Data modeling

AI workflows

Data quality

Analytics engineering

Communication

Tools

dbt

Snowflake

Airflow

Git

Tableau

Job description

Pure Storage in Santa Clara, CA is seeking a Senior Analytics Engineer to drive modernization of analytics, build scalable dbt foundations, and enable AI-enabled workflows. You will partner with BI analysts, RevOps, and backend teams to deliver scalable data products and automated insights.

You will design robust ELT/ETL pipelines, develop semantic layers for GTM domains, and advance analytics engineering practices while shaping future AI-enabled capabilities.