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Strong Tier-1 brand and metro locations increase applicant competition, but senior specialization moderates density.
Role requires deep Azure data platform and consulting experience, limiting cross-industry transferability.
Explicit 10+ years requirement plus specific Azure/data platform technical mandates make filters highly strict.
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Lead technical delivery and architectural design for enterprise-scale Microsoft Azure data and AI solutions.
Collaborate with clients and functional teams to understand business requirements and ensure timely solution implementation.
Mentor junior team members and manage project risks and communication across cross-functional, global teams.
10+ years of relevant consulting, industry, or technology experience.
Hands-on experience with Microsoft Azure, including deploying end-to-end Azure BI solutions and migrating workloads to cloud.
Proficiency with Azure Data services such as Data Factory, Databricks, Synapse Analytics, Cosmos DB, Power BI, and scripting languages like Python, PowerShell, or Scala.
Bachelor's degree in Engineering, MCA, or M.Sc (CS) from accredited university.
Experienced in defining and implementing cloud strategies, including high availability and disaster recovery on Azure.
Strong operational focus on building scalable, robust data pipelines and managing distributed applications in Azure.
Demonstrated ability to lead large-scale data/AI platform modernization with expertise across Azure data platform and automation tools.