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Job Description
Structured overview of role & requirementsAbout This Role
Lead and oversee data engineering projects leveraging Azure services such as Azure Data Factory, Databricks, Data Lake Gen 2, and Azure SQL.
Provide technical guidance and leadership to a team of data engineers, ensuring compliance with architectural principles.
Manage data platform transformations including migration of on-premise data warehouses to Azure cloud and implementation of Lakehouse/Datawarehouse architectures.
Minimum Requirements
Proven experience leading a team of data engineers and managing data engineering projects using Azure data services (ADF, Databricks, Azure Data Lake Gen 2, Azure SQL).
Experience in on-premise to Azure cloud data warehouse migration and modern data platform architecture implementation.
Skills in capacity planning and performance tuning for Azure Data Factory and Databricks pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities, indicating strong security and compliance alignment.
Capable of offshore team collaboration and participation throughout project lifecycles including requirements gathering and testing.
Able to manage stakeholder interactions with clear process adherence, planning, and documentation skills.