Senior Data Architect​/Data Modeler; Databricks Lakehouse + Enterprise Data Modernization

We are seeking a Senior Data Architect / Data Modeler to lead a large-scale enterprise data modernization initiative. This role will be instrumental in transitioning from a legacy enterprise data warehouse (EDW) and transactional systems to a modern cloud-based Lakehouse architecture on Databricks.

The ideal candidate combines deep expertise in enterprise data modeling, Databricks architecture, and governance (Unity Catalog) with the ability to partner cross-functionally across engineering, analytics, and business teams.

This is a high-impact role focused on building the next-generation data foundation that will power enterprise analytics, automation, and AI.

• Define and design end-to-end data architecture supporting migration from legacy EDW to a modern Databricks Lakehouse.
• Develop conceptual, logical, and physical data models across core business domains (Finance, Supply Chain, Operations, etc.).
• Define standards for Delta Lake, Delta Live Tables, and data quality frameworks.

• Architect and operationalize Unity Catalog for enterprise-scale governance, lineage, metadata management, and access control.
• Define catalog, schema, workspace, and permissioning strategies.
• Partner with security and platform teams to align governance with enterprise standards.

• Translate complex legacy operational data into harmonized Lakehouse models.
• Design ingestion strategies using CDC, APIs, streaming, and batch mechanisms.
• Lead rationalization and migration of legacy EDW assets into Databricks.
• Ensure alignment with enterprise master data and governance policies.

• Collaborate with engineering, analytics, and business stakeholders to align architecture with business needs.
• Provide architectural guidance, documentation, and standards.
• Support roadmap planning and architecture review processes.

• 10+ years of experience in data architecture, data modeling, or enterprise data engineering.
• Proven experience designing data models for large, complex organizations.
• Strong hands-on experience with:
• Databricks Lakehouse architecture
• Unity Catalog (mandatory)
• Deep expertise in conceptual, logical, physical, and dimensional data modeling.
• Experience migrating legacy EDWs (Teradata, Oracle, SQL Server, Netezza, etc.) to cloud platforms.
• Strong understanding of enterprise data governance, lineage, metadata, and security frameworks.
• Excellent communication skills with both technical and business stakeholders.

• Experience integrating ERP and transactional systems (SAP, Oracle, Workday, etc.).
• Experience with Azure, AWS, or GCP cloud ecosystems.
• Exposure to ML/AI workloads on Databricks.
• Experience in semiconductor, manufacturing, or high-tech industries.