Role Overview
We are seeking a Senior Semantic Layer Data Architect to lead the design, implementation, and evolution of a centralized semantic layer on Databricks. This role enables governed, scalable, and reusable data products across the enterprise while ensuring metric consistency, trust, and business alignment.
This position sits at the intersection of data architecture, analytics engineering, and governance, partnering closely with stakeholders across the enterprise.
General Responsibilities
- Own and evolve the enterprise semantic layer strategy, including modeling standards, metric design, and governance patterns.
- Define and maintain conformed dimensions, canonical entities, standardized KPIs, and curated analytic views.
- Design and operate a trusted enterprise metrics layer to eliminate metric drift across Power BI dashboards and teams.
- Partner with Marketing, Supply Chain, Operations, and Finance stakeholders to define KPI logic, grains, hierarchies, and calculation rules.
- Establish governance processes for metric versioning, change management, and impact analysis.
- Leverage Databricks Unity Catalog to enforce access controls, classification, lineage, and auditability for semantic assets.
- Enable consistent analytics consumption through star schemas, aggregated views, and certified datasets.
- Provide semantic leadership for enterprise domains, applying CPG/QSR/Retail industry context.
- Create enterprise semantic modeling standards, templates, playbooks, and enablement materials.
- Guide and review domain semantic implementations to ensure alignment with central standards and best practices.