Position Summary

We're looking for a Principal Analytics Engineer to join our data platform team. You'll sit at the intersection of raw data and the people who rely on it, building and maintaining the models, pipelines, and reporting surfaces that power decisions across the company.

This is a hands-on technical role with real stakeholder exposure. The right person is comfortable tracing a data issue from source system to dashboard, knows how to turn a vague business question into a well-scoped data model, and cares about making data trustworthy and easy to use.

What You'll Do

• Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting.
• Own warehouse transformations end to end, from raw ingestion through to the stable, documented tables that downstream tools and teams depend on.
• Support ingestion from a variety of sources: SaaS platforms, product telemetry, APIs, spreadsheets, and operational databases.
• Debug data issues across the full stack, source systems, pipelines, warehouse models, and BI dashboards.
• Partner with stakeholders across product, sales, customer success, marketing, finance, and engineering to understand and deliver on data needs.
• Triage and resolve data support requests, including access, metric definitions, broken dashboards, and data discoverability questions.
• Improve documentation, data lineage, and discoverability so teams can self-serve without relying on tribal knowledge.
• Help establish and reinforce good data practices, governance, access patterns, model ownership, and freshness standards.

What We're Looking For

• 6+ years in analytics engineering, data engineering, or a closely related role.
• Strong SQL and experience shipping production-grade analytical models.
• Hands-on experience with a modern cloud data warehouse (BigQuery, Snowflake, Redshift, or similar).
• Experience with a transformation framework like dbt, SQLMesh, or equivalent.