Principal Analytics Engineer
Core
Own end-to-end warehouse transformations from raw ingestion to stable, documented tables for downstream dependencies; build curated data models for product usage, customer adoption, account health, and go-to-market reporting.
Role type
Principal Analytics Engineer
Builds
Production data models, curated datasets, and BI dashboards for product and GTM teams
Domain
SaaS / AI Software Delivery Platform / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, modern cloud warehouse (BigQuery/Snowflake/Redshift), transformation frameworks (dbt/SQLMesh), Python scripting, BI tools (Tableau/Looker/Metabase), data governance, data lineage
Preferred skills
RAG pipelines, embeddings, LLM-powered tools, event-stream data (Segment/Amplitude/Mixpanel), CRM/CS/GTM data (Salesforce/Gainsight/Outreach), data catalogs, workflow orchestration (Airflow), PLG/adoption reporting
Responsibilities
Own warehouse transformations end-to-end; build and maintain curated data models; set and enforce data practices and governance; debug data issues across the full stack; improve documentation and lineage; partner with stakeholders to scope data models
Seniority
Principal, hands-on IC