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Tier-1 brand and Bangalore location increase competition, but senior specialized data-platform skills limit applicant density.
Role requires deep data-platform, big-data, and enterprise cloud expertise, making cross-industry transfers limited.
Mandates 10+ years, dual Python/Java expertise, big-data and AWS platform experience, plus leadership, so very strict.
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Design, develop, and operate scalable, secure, and high-quality data platform services and pipelines impacting multiple teams and products.
Provide technical guidance and make decisions influencing data platform architecture, functionality, and operations, including enterprise-wide AI-assisted engineering practices.
Lead adoption and governance of AI-assisted development tools and scalable operating practices across teams, ensuring measurable delivery improvements and security compliance.
10+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in both Python and Java with strong backend and distributed systems engineering experience.
Hands-on experience with big data technologies including Spark, Databricks, Data Lake, and AWS cloud services like ECS, EKS, EMR, Lambda.
Experience leading multi-team adoption of AI-assisted development tools and establishing governance for secure, responsible AI use in engineering workflows.
Experienced in building and scaling large-scale data platforms, including ingestion, processing, storage, and serving layers in cloud environments.
Demonstrated ability to independently resolve complex design and functionality problems with minimal oversight in large corporate or global team settings.
Strong strategic and technical leadership capability to influence peers and organizational decision-makers on data platform and AI-assisted tool adoption and governance.