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Tier-1 brand and metro location increase competition, but specialized Azure Databricks skills narrow the candidate pool.
Azure Databricks, Delta Lake and cloud data platform skills are broadly transferable across industries.
Mandatory 7+ years plus specific Azure, Databricks, Delta Lake and governance expertise enforces strict filters.
Architect and lead design of end-to-end cloud-native data platforms using Azure and Databricks technologies.
Define and implement scalable data modeling and ETL/ELT pipeline standards including Delta Lake medallion architectures.
Lead governance implementation, data security policies, and collaborate with stakeholders to drive data strategy and technical excellence.
7+ years experience in Data Architecture or Data Engineering roles.
Expert-level proficiency in Azure Databricks, Azure Data Lake Gen2, Azure Data Factory / Synapse, Delta Lake, and PySpark/SQL/Python programming.
Bachelor's degree or higher in Computer Science, IT, Mathematics, Engineering, or equivalent work experience.
Up to 10% travel required; hybrid office/remote working model.
Proven architectural leadership in enterprise-scale cloud data platforms using Azure and Databricks.
Experienced in applying domain-driven and event-driven design principles and implementing data governance frameworks.
Skilled in optimizing distributed big data systems for performance, security, and cost within complex multidisciplinary teams.