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 Observability & Reliability
- Design and implement automate

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