Position Details
About this role
Lead enterprise data governance and semantic layer initiatives to deliver a governed, consumable semantic layer across data domains. Partner with business and IT to ensure data quality, lineage, and a single source of truth.
Key Responsibilities
- Define enterprise ontologies and semantic models to unify business concepts across data domains and data products
- Advise/develop enterprise semantic layer and business logic abstractions for analytics & AI readiness
- Define/Validate requirements for data elements and populate enterprise data catalog
- Define quality rules for data within domain and oversee remediation
- Onboard, coordinate with and support domain teams to ensure application of policies & standards
Technical Overview
Scope includes semantic layer design, data modeling, data governance frameworks, and catalog tooling (Alation, Big Eye); hands-on experience with dbt and Databricks; strong SQL and BI tooling skills; emphasis on metadata management and KPI alignment.
Ideal Candidate
The ideal candidate is a senior data governance professional with 12+ years of experience in data management, semantic layer governance, and enterprise data initiatives. They bring strong SQL, dbt, Databricks skills and hands-on experience with data catalog tools (Alation, Big Eye) and metadata management, plus project leadership and stakeholder management capabilities.
Must-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 12+ years experience in data discipline, No experience with semantic layer and data governance, Not proficient in SQL/databricks/dbt, No experience with data catalog tools like Alation/Big Eye
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile