Data Engineer
Core
Build the data layer for AI governance, including the governance data model, pipelines, data quality, lineage, and metrics for the AI Governance Council and board.
Role type
Senior analytics/data engineer (AI governance)
Builds
Governance data models, transformation pipelines, audit-ready metrics, and executive reporting dashboards
Domain
AI security, risk management, and enterprise governance
Required skills
SQL (window functions, complex joins), Python (pandas), data modeling (ETL/ELT, dimensional), cloud data platforms (Snowflake, BigQuery, Redshift, Databricks), version control (Git, dbt, CI/CD), BI tools (Tableau, Power BI, Looker)
Preferred skills
Experience in security, risk, compliance, or audit functions; experience with imperfect/multi-source data reconciliation
Technologies
Snowflake, BigQuery, Redshift, Databricks, dbt, Git, GitHub Actions, Tableau, Power BI, Looker
Responsibilities
Design and maintain the analytical data model for AI governance; build automated data quality checks and end-to-end lineage; reconcile AI System Registry with Product Security records; design and own the metric set for risk and control monitoring; build executive and board reporting; structure data for AI cyber risk quantification
Seniority
Senior, hands-on IC