Senior Data Engineer
Core
Designing and building a unified semantic layer and governed data foundation to replace siloed data across Finance, People, Procurement, and Compliance domains.
Role type
Senior Data Engineer (Semantic Layer & Data 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
SQL, dbt, PySpark, Databricks, Unity Catalog, DataHub, data modeling, data lineage, access control, data quality management
Preferred skills
Lakehouse architectures, Delta table design, CI/CD for data, observability frameworks
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 PII 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
Senior, hands-on IC with architectural ownership