Senior Data Architect / Data Modeler

Our client is transforming their legacy EDW environment into a modern Databricks Lakehouse platform. We are seeking a Senior Data Architect to lead enterprise data architecture, governance through Unity Catalog, and migration of complex operational data into a scalable, analytics-ready cloud environment.

This is a high-impact role combining architecture, data modeling, governance, and cross-functional leadership.

Key Responsibilities

• Design end-to-end Lakehouse architecture (Bronze/Silver/Gold layers).
• Build conceptual, logical, and physical data models across Finance, Supply Chain, and Operations.
• Architect and implement Unity Catalog governance, lineage, and access controls.
• Define standards for Delta Lake, Delta Live Tables, and data quality frameworks.
• Lead migration from legacy EDWs (Teradata, Oracle, SQL Server, etc.) to Databricks.
• Design ingestion frameworks (CDC, APIs, streaming, batch).

Required Skills

• 10+ years in data architecture, data modeling, or enterprise data engineering.
• Strong experience designing and governing data models for large, complex organizations.
• Handson Databricks experience, including:
• Unity Catalog (mandatory)
• Delta Lake
• Delta Live Tables
• Lakehouse architecture patterns
• Expertise in conceptual/logical/physical data modeling and dimensional modeling.
• Experience migrating from legacy EDWs (Teradata, Oracle, SQL Server, Netezza, etc.) to cloud platforms.
• Strong understanding of data governance, lineage, metadata, and security frameworks.
• Ability to communicate with both technical and business stakeholders.

Preferred Qualifications

• Experience integrating data from ERP or large transactional systems (SAP, Oracle, Workday, etc.).
• Experience with Azure, AWS, or Google Cloud Platform cloud ecosystems.
• Familiarity with ML/AI workloads on Databricks.
• Experience in semiconductor, hightech, or manufacturing environments.