Sr. Data Modeler
Core
Design and govern semantic and metrics layers that serve as the source of truth for analytics, reporting, and business intelligence, bridging raw data with downstream consumers like dashboards and AI tools.
Role type
Senior Data Modeler (Semantic/Metrics Layer)
Builds
Semantic views, metrics layers, and governed data models for BI tools and AI-assisted querying
Domain
Data Engineering / Business Intelligence / Analytics
Required skills
Semantic layer design, Metrics layer design, Advanced SQL, Relational database design, Cloud data warehousing, Transformation frameworks, Data governance, Metadata management
Preferred skills
Dimensional modeling, Data catalog tools, Data mesh concepts, Industry domain expertise
Technologies
Snowflake, dbt, LookML, Cube, Collibra, Alation, Atlan, BigQuery, Redshift
Responsibilities
Define metrics, dimensions, and business logic for the semantic layer; Design serving-layer models as the source of truth; Build and govern semantic views/metrics layers; Partner with stakeholders to iterate on semantic definitions; Audit reports to reduce metric drift and consolidate definitions
Seniority
Senior, hands-on IC