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Metro role with common Data Engineer title and moderate corporate brand, medium candidate density.
Azure and Databricks data engineering skills are broadly transferable across industries, so low sensitivity.
Multiple mandatory Azure, Databricks, Lakehouse and team leadership requirements increase filtering strictness.
Lead data engineering projects using Azure services including Data Factory, Databricks, Data Lake Gen2, and Azure SQL to build and operationalize business data solutions.
Provide technical leadership and guidance to a team of data engineers while ensuring adherence to architectural principles.
Manage end-to-end data engineering functions such as ingestion, transformation, capacity planning, performance tuning, and migration from on-premise data warehouses to Azure cloud platforms.
Experience leading a team of data engineers and providing technical guidance.
Strong hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure SQL.
Proven experience with on-premise to Azure cloud data warehouse migration and modern data platform implementation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in operating within secured Azure environments using KeyVaults, Service Principals, and Managed Identities indicating ability to handle enterprise security requirements.
Skilled in stakeholder management and collaborating with offshore development teams, showing capability to work in cross-location project cycles.
Proficient in engaging with business teams for requirements gathering and issue resolution, demonstrating strong operational ownership in data solution delivery.