Principal Data Engineer
Core
Designing and building a unified semantic layer and governed data foundation to replace fragmented, siloed data across Finance, People, Procurement, and Compliance domains.
Role type
Principal Data Engineer (Data Architecture & Governance)
Builds
Unified semantic layer, governed data products, scalable data pipelines, and metadata standards for AI and conversational analytics.
Domain
Financial services / Data Engineering / Data Governance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data architecture, SQL, dbt, PySpark, Databricks, Unity Catalog, DataHub, data modeling, data quality management, CI/CD, stakeholder translation
Preferred skills
Lakehouse architectures, Delta table design, column-level security, PII handling, lineage definitions
Technologies
Databricks, dbt, SQL, PySpark, Unity Catalog, DataHub, Databricks Genie
Responsibilities
Architect and own delivery of shared data products across multiple business domains; Build and evolve the semantic layer powering reporting and AI tools; Design and build scalable data pipelines and governed data products; Implement governance capabilities including access controls and data classification; Drive DataHub adoption by defining metadata standards; Translate complex stakeholder requirements into production-grade data solutions; Set engineering standards through code quality and architecture decisions.
Seniority
Principal, hands-on IC with architectural ownership
