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Metro location, mid-level seniority, and a broadly advertised Azure/DevOps title increase applicant competition.
Specialized Azure dataplatform and Databricks focus moderately limits cross-industry transferability.
Multiple mandatory Azure, Databricks, Python, Kubernetes, and ML lifecycle requirements create strict technical filters.
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Design and build scalable data platform solutions within a Microsoft Azure cloud environment to support business needs.
Collaborate cross-functionally with product owners, developers, QA, governance, and support teams to enhance data platform and DevOps services including monitoring and deployment pipelines.
Provide technical mentorship and participate in on-call rotations to support platform operational stability.
5+ years experience building production data systems or platform components.
Strong coding skills in Python and experience with Microsoft Azure platform and data services.
Experience with Azure Data Factory, Databricks administration, GitLab, distributed storage technologies (NFS, HDFS), and dynamic resource management frameworks (Apache, Kubernetes).
Workplace location: Bengaluru, Karnataka with hybrid work flexibility.
Experienced in operating and managing data platforms within Microsoft Azure, with comprehensive knowledge of the machine learning software development lifecycle.
Capable of strategic platform solution design balancing scalability, security, compliance, and cost factors in evolving requirements.
Able to provide mentorship and collaborate across functions in a multi-location environment to drive long-term platform strategy and team growth.