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Niche senior Databricks/AWS role in Bengaluru, specialized requirements reduce applicant competition.
Highly domain-specific AI data product ownership limits cross-industry transferability.
Explicit 8+ years and mandatory Databricks, Unity Catalog, and AWS skills enforce strict filtering.
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Own the AI data product roadmap and manage a backlog of reusable AI-ready data products with defined ownership, service levels, and lifecycle controls.
Lead design and operation of data ingestion and curation pipelines, plus establish automated data quality controls to ensure readiness for AI model training and deployment.
Drive transformations to governed, reusable data products supporting critical AI use cases and deliver transparency via quality and cost scorecards.
Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or related field.
8+ years of experience in data engineering, data management, AI data foundations, or related technology leadership roles.
Hands-on experience with AWS, Databricks (including Unity Catalog), Delta Lake, data lineage, observability, and production support.
Work location: Hybrid in Bengaluru, India.
Experienced senior technologist with proven ownership of AI data products or mission-critical pipelines delivering measurable impact.
Comfortable collaborating with cross-functional teams including business leaders, product owners, AI engineering, security, and platform teams.
Capable of making senior-level decisions in ambiguous contexts balancing speed, quality, security, cost, and maintainability.