Lead Data Engineer (Databricks)

Summary Hire Type: Contract to Hire Payment Terms: Corp-to-Corp (C2C) engagement only. The consultant must operate through their own valid incorporated business entity. Submission Guidelines: We are accepting direct engagements with independent consultants operating through their own corporation. Submissions from third-party staffing firms, consulting vendors, or intermediaries are outside the scope of this requirement. Project Context: Customer is undergoing a large-scale migration from Teradata to Databricks over the last 18 months. Data lake hydration is still in progress, with multiple layers supporting domain-based transformations. Hundreds of MIS reports currently running on Teradata must be successfully migrated and validated in the target Databricks environment. The client requires immediate implementation and subsequently scalable testing services. Key Requirements: • Strong expertise in Databricks Lakehouse architecture • Hands-on experience with Databricks DLT Meta (Delta Live Tables) (not Unity Catalog) • Expertise in using Azure (requirement is Azure, ADLS Gen 2, Azure Data Factory, Azure Key Vault, Azure DevOps) • Expertise in CI/CD implementation in Azure DevOps for deployment pipelines • Experience designing scalable testing and validation frameworks for data migration projects • Proven experience in Teradata to Databricks migration programs • Ability to support multi layer implementation and optimization • Strong understanding of enterprise reporting/data reconciliation processes Preferred Profile: • Senior Data Leads with real project implementation and migration expertise (not just trained/certified resources) • Experience handling large-scale enterprise data transformation programs • Ability to work in hybrid onsite/offshore delivery model