Create logical data diagrams collaboratively with English-speaking business stakeholders from Auto OEM, AutoParts, and Auto Warranty units

Combine, divide, and rename business entities to align with real-world operations and business perspectives

Expand and maintain data models by adding new business entities and attributes, ensuring appropriate placement

Lead the team in converting logical diagrams into Databricks data objects, deciding on data persistence or ephemerality

Provide training to business users on the use of new models within medallion layers

Develop and update data models utilizing Erwin

Utilize and enhance the openMetadata catalog

Proven experience in Data Architecture with over 5 years in relevant roles

Strong leadership capabilities to direct teams on best practices in data modeling

Background in enterprise data platform initiatives, preferably with Databricks

In-depth knowledge of data modeling principles including business logical models and avoiding system of record structures like SAP and Mainframe

Understanding of medallion data architecture and suitable data modeling techniques for end users

Capability to implement shift-left KPIs such as cleansing, standardization, and core business metrics calculations

English proficiency at B2+ level for effective communication with business stakeholders

Experience working with automotive industry data and business units

Certifications in data modeling or architecture

Familiarity with additional data catalog tools beyond openMetadata

Hands-on experience with Erwin data modeling software