Description

You will define and own the enterprise data architecture strategy.

This role is hybrid.

Responsibilities

• Define end-to-end data architecture supporting the transition from legacy EDW to a modern Databricks Lakehouse.
• Build conceptual, logical, and physical data models across Finance, Supply Chain, and Operations domains.
• Establish Lakehouse patterns for data ingestion, curation, and consumption (bronze/silver/gold).
• Architect and operationalize Unity Catalog for lineage, governance, access control, and metadata management.
• Lead the rationalization of legacy EDW assets and design migration paths into Databricks.

Required Skills

• 10+ years in data architecture, data modeling, or enterprise data engineering.
• Hands-on Databricks experience, including Unity Catalog, Delta Lake, and Delta Live Tables.
• Expertise in conceptual, logical, and physical data modeling, including dimensional modeling.
• Experience migrating from legacy EDWs such as Teradata, Oracle, SQL Server, or Netezza.
• Strong understanding of data governance, lineage, metadata, and security frameworks.
• Experience with SAP, Oracle, Workday, Azure, AWS, or GCP ecosystems.

Key Skills

Education

Any Gradute