Position Summary
The Databricks Data Modeler is responsible for defining enterprise data structures, conceptual models, logical models, and physical implementations that support analytics, AI, reporting, and operational data products. The role ensures consistency, scalability, governance, and business alignment across the Databricks ecosystem.
Key Responsibilities
Design conceptual, logical, and physical data models.
Develop enterprise-wide business and domain data models.
Define standardized data structures for Databricks Lakehouse implementations.
Create dimensional models for analytics and reporting.
Design canonical data models to support cross-domain integration.
Collaborate with business stakeholders to define data requirements.
Establish naming standards, metadata standards, and modeling best practices.
Support Master Data Management (MDM) and data governance efforts.
Ensure models align with AI, ML, and enterprise reporting needs.
Maintain data dictionaries, lineage documentation, and metadata repositories.
Required Skills
Data Modeling
Databricks Lakehouse Architecture
SQL
Dimensional Modeling
Data Warehouse Design
ER Modeling
Data Governance
Metadata Management
Preferred Skills
Healthcare Data Models
Kimball Methodology
Data Vault 2.0
Unity Catalog
Master Data Management
Enterprise Information Architecture
Experience
5+ years in Data Modeling
Experience designing scalable cloud-based data models
Experience supporting Databricks implementations
Key Deliverables
Enterprise Data Models
Subject Area Models
Dimensional Models
Data Dictionaries
Business Glossaries
Source-to-Target Mapping Specifications
Data Standards and Governance Artifacts