Senior Data Engineer (Pipelines & Data Quality) - Data Platform

This role focuses on owning pipeline-standardization and data-quality programs for an enterprise lakehouse. The Senior Data Engineer will ship compliance gates to block non-compliant deployments, establish a data-quality framework, and build dashboards to ensure business trust. The position involves driving measurable reductions in data incidents and leading the migration of legacy pipelines to standard practices.

Design, ship, and operate a pipeline-compliance checker

Deploy a data-quality framework across production pipelines

Build and publish the Data Quality Dashboard

Establish Source Change Management agreements

Lead the migration playbook for legacy pipelines

Drive data-incident reduction through prevention

Partner with platform engineering on Event Stream schemas

Author runbooks and code review at a senior level

Bachelor's degree in Computer Science, Data Engineering, or a related discipline

5+ years designing, building, and operating production data pipelines on a major lakehouse or warehouse

Strong PySpark and SQL; understands Spark performance tuning at production scale

Deep experience with data-quality frameworks

Built and operated medallion / multi-layer lakehouse architectures

Solid Git / CI experience for data code

Comfortable defining and enforcing standards

Cloud platform experience (Azure preferred)

Unknown