Sr. Data Modeler

We're looking for a Sr. Data Modeler to design and govern the data models that serve as the foundation for analytics, reporting, and business intelligence across the organization — with particular depth in semantic and metrics-layer modeling. Beyond traditional schema design, you'll build the semantic layer that sits between raw data and downstream consumers (dashboards, reverse-ETL syncs, AI-assisted querying), working closely with data engineers, analysts, and business stakeholders to keep definitions consistent everywhere they're used. What you'll get to do: Contribute to the semantic layer strategy — defining metrics, dimensions, and business logic once so they're consistent across BI tools, reverse-ETL syncs, and AI-assisted querying Design serving-layer models as the "source of truth" for business definitions, resolving ambiguity before it reaches dashboards Build and govern semantic views/metrics layers (e.g., Snowflake semantic views, dbt metrics/semantic layer) that let analysts and AI tools query curated data without re-deriving business logic Partner directly with analytics and BI consumers to understand how models get used downstream, and iterate on semantic definitions based on real query patterns Reduce metric drift by auditing existing reports/dashboards for divergent definitions of the same business concept and consolidating them into governed semantic models Who you are: 5+ years of experience in data modeling or a related field, including experience operatin