Senior Principal Data Analytics Engineer

• Advanced Data Modeling: Design and maintain complex data models within a Medallion Architecture , specializing in the Silver and Gold layers to provide optimized datasets for end-user consumption.

• Analytics Transformation: Drive the implementation of dbt (data build tool) core on self-hosted environments (e.g., Postgres ), emphasizing modularity, version control, and CI/CD best practices.

• Data Governance and Lineage: Establish and enforce strict data lineage and cataloging standards to ensure auditability and traceability of mission-critical KPIs.

• Strategy & Architecture: Collaborate with leadership to develop a comprehensive data strategy that balances technical debt with the rapid delivery of analytic value. Architect and deploy data tooling within secure, air-gapped, or hybrid-cloud environments, ensuring seamless updates and stability without constant external connectivity.

• Performance Optimization: Tune complex SQL queries and optimize data structures to handle large-scale datasets while maintaining cost-efficiency and performance. Optimize the ingestion and transformation of high-velocity telemetry or sensor data, bridging the gap between raw engineering data and executive business intelligence.

• Cross-Functional Leadership: Partner with Data Scientists and Business Analysts to understand their requirements and provide the "clean room" data environments they need to succeed.

• Mentorship & Standards: Serve as the technical authority for the analytics engineering team, establishing standards for Python-based automation and SQL documentation.