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Pune metro, common data role but senior Lead and Azure specialization moderate applicant competition.
Azure Databricks Lakehouse skills transferable, but finance security experience increases domain specificity.
Mandatory Azure/ADF/Databricks, team leadership and migration experience make filters strict.
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Lead data engineering projects using Azure services (Azure Data Factory, Databricks, Data Lake Gen 2, Azure SQL) to build and operationalize business data solutions.
Provide technical leadership and guidance to a team of data engineers ensuring alignment with architectural principles.
Collaborate with stakeholders for requirement gathering, maintain controls to reduce operational risk, and improve overall control environment.
Proven experience leading data engineering teams with technical guidance responsibilities.
Strong expertise in Azure data services including Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, and Azure SQL.
Experience with migrating on-premise data warehouses to Azure cloud platforms and implementing Lakehouse/Datawarehouse architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in capacity planning and performance tuning of data pipelines in ADF and Databricks environments.
Familiar with secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities, and working in off-shore development team contexts.
Skilled in stakeholder management, process adherence, end-to-end project lifecycle involvement including requirement analysis, testing, and release.