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Strong employer brand and metro locations increase applicant density, but senior specialization limits broad competition.
Specialized Azure Databricks data platform skills are transferable but remain domain-specific across industries.
Explicit 10+ years and precise Azure/Databricks data platform requirements make screening highly selective.
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Lead technical delivery and architecture for enterprise-scale software solutions using Microsoft Azure platforms.
Manage cross-functional teams including mentoring junior members and coordinating between teams to ensure project success.
Drive cloud strategy including migration, design of high availability and disaster recovery solutions, and end-to-end Azure solution deployment.
10+ years of experience in architecture, design, implementation, or support of highly distributed applications.
Hands-on experience with Microsoft Azure, including Azure Data Factory, Databricks, Cosmos DB, Synapse Analytics, and related Azure data services.
Experience with cloud migration, cloud strategy definition, agile methodologies, and designing ETL/data lake solutions with governance.
Bachelor's or master's degree in Engineering, MCA, or MSc (Computer Science) from an accredited university.
Experienced in designing and implementing complex cloud solutions specifically on Microsoft Azure data platforms.
Proven ability to lead architecture development and communicate technical value aligned with client business objectives.
Skilled in managing large-scale data ecosystems with strong understanding of data governance, cloud adoption, and performance optimization of Azure data services.