Key Responsibilities

• Design and model enterprise data architecture (conceptual, logical, physical) across data warehouses, lakes, and MDM systems.
• Lead data governance, metadata management, data mastering, and semantic layer design.
• Architect scalable, secure data platforms leveraging Azure, GCP, and Databricks.
• Develop data architecture documentation including flow and sequence diagrams.
• Translate business requirements into technical solutions and provide hands-on leadership throughout project lifecycles.
• Define and execute data platform strategies and roadmaps.
• Ensure data security and compliance with regulatory standards.

Required Skills

• Mandatory: Azure Analysis Services, Azure Data Factory, Azure Data Lake, Azure DevOps, Azure Event Hub, Azure Key Vault, Azure SQL, Databricks, Dimensional Data Modeling
• Strong knowledge of cloud data architecture (Azure/GCP), data governance, and modeling best practices

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