DataAnalyticsOperationsLeadEngineer

**Lead Data Engineer – Platinum Data Foundations, Lineage & Observability** **Experience Level** **5–8 years** in Data Engineering, Analytics Engineering, or Enterprise Data Platforms **Role Summary** The Senior Data Engineer is responsible for building, assessing, and strengthening the **data foundations** that support **Platinum‑level enterprise data sources**. This role works in close partnership with Data Operations Analysts to operationalize data specifications, implement lineage and observability capabilities, and ensure critical enterprise data assets are reliable, transparent, and governed. A key component of this role is **engineering integrations between Platinum data products and enterprise data governance platforms (e.g., Collibra)** to automate lineage, technical metadata, and observability signals across the data ecosystem. **Key Responsibilities** **Platinum Data Foundation Engineering** * Partner with Data Operations Analysts to perform **data foundation assessments** for Platinum data sources, evaluating: * Source system readiness and integration patterns * Data model structure and reuse potential * Reliability, scalability, and quality controls * Design, build, and maintain **enterprise‑grade data pipelines** that support certified data products. * Ensure Platinum sources meet standards for **performance, availability, and operational resilience**. **Data Lineage, Governance & Architecture Enablement** * Implement and maintain **end‑to‑end technical data lineage** from source systems through Databricks and downstream consumption layers. * **Build and maintain integrations between data products and enterprise data governance tools (e.g., Collibra)** to: * Publish technical metadata and lineage * Associate data assets with governed business metadata * Enable automated certification and impact analysis workflows * Partner with DataOps and governance teams to ensure engineered metadata aligns with enterprise standards and stewardship processes. **Data