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

We are seeking an experienced Senior Data Engineer to own the pipeline-standardization and data-quality program for the enterprise lakehouse. This role ships compliance gates that block non-compliant deployments, stands up the data-quality framework, builds the dashboards business users trust, and drives measurable reductions in data incidents across the retail data estate.

Key Responsibilities: • Design, ship, and operate a pipeline-compliance checker that validates naming, metadata, config schema, DQ-rule declarations, and cluster-policy reference on every new deployment. • Deploy a data-quality framework (Great Expectations, Databricks DQ Rules, or equivalent) across new production pipelines; build a domain onboarding template; configure alert routing by severity. • Build and publish the Data Quality Dashboard — quality health by domain, source, table; near-real-time refresh; freshness, completeness, accuracy. • Establish Source Change Management agreements with key source systems (SLA contracts, change-request process, automated schema-change alerting); map source lineage end-to-end. • Lead the migration playbook to bring the legacy pipeline estate to standard; mentor engineers executing migration; own the playbook, not every migration. • Drive data-incident reduction through prevention (compliance gate, DQ framework, DCM, lineage), not reactive firefighting; lead incident response and post-mortems for major DQ failures. • Partner with platform engineering on Event Stream domain-event schemas and data-product contracts. • Author runbooks, code review at senior level, and contribute to engineering culture.