Description
The Lead Data Engineer will own the design, implementation, and hardening of ETL/ELT pipelines, orchestration, observability, lineage, data modeling, data contracts, and platform governance across a multi-market data platform. The role sets reusable engineering patterns, ensures data quality and traceability, supports compliance and privacy controls, and mentors engineers. It requires at least six years of data engineering experience, senior production-platform ownership, and hands-on expertise with Databricks, Spark, Delta Lake, PostgreSQL, Python, SQL, and data-engineering best practices.
