(Senior) Data Modeler / Data Vault Expert Azure Databricks / Lakehouse (m/w/d)
Core
Design and evolve the enterprise data model in an Azure Lakehouse, establishing Data Vault as the backbone for scalable data architecture.
Role type
Senior Data Modeler / Data Vault Expert
Builds
Robust, scalable data structures and derived data marts for analytics and reporting within an Azure Lakehouse.
Domain
Retail / Data Engineering / Data Architecture
Deliverable
production ML models | product features
Required skills
Data Vault 2.0 modeling, Hub/Link/Satellite design, Surrogate Keys, Historization, Azure Databricks, Python or Scala, ETL/ELT processes, Data Governance
Preferred skills
Kimball modeling, Data Catalog/Metadata management, Cloud/Lakehouse environments
Responsibilities
Conceptualize and develop the Enterprise Data Model with a focus on Data Vault and derived Data Marts; Define modeling standards, naming conventions, and best practices; Collaborate with business units and data engineers to translate requirements into robust data structures; Ensure data model quality across the lifecycle; Support integration of new source systems; Participate in architecture and technology decisions for Data Vault in the Lakehouse.
Seniority
Senior, hands-on IC
