Senior Data Modeler
Core
Design and evolve high-quality logical and physical data models across a modern Databricks lakehouse to support analytics, reporting, and emerging AI use cases.
Role type
Senior Data Modeler
Builds
Logical and physical data models, semantic layer artifacts, and governed metrics for enterprise data consumption.
Domain
Automotive financing / Data Engineering
Deliverable
production ML models | product features
Required skills
Dimensional modeling (Kimball), Relational modeling, Databricks, ELT pipeline design, Data dictionary maintenance, Business glossary development, Cross-system data lifecycle awareness, AI-ready data design, Metadata management, Design review participation
Preferred skills
Semantic layer development, Genie-ready configurations, AI-assisted metadata generation, Dealer Datahub patterns
Technologies
Databricks, ELT pipelines
Responsibilities
Design and maintain logical and physical data models across the Databricks lakehouse environment. Translate business requirements into clear, well-documented data structures. Support the development of semantic layer artifacts and governed metrics. Contribute to business glossary development and data dictionary maintenance. Partner with data engineers to implement models in performant ELT pipelines. Adhere to and help refine enterprise data modeling standards and naming conventions.
Seniority
Senior, hands-on IC
