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Medium — metro Bengaluru, senior role but niche AI/data product specialization limits applicant density.
High — role demands specific AI-data product ownership, Databricks/AWS platform, and governance expertise across industries.
High — explicit 8+ years plus mandatory AWS/Databricks, data product, governance, and quality gate requirements.
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Own and manage the AI data product roadmap, including governance, service levels, and lifecycle controls for scalable AI data products.
Lead design and operation of cost-efficient, incremental data ingestion and curation pipelines using AWS, Databricks, and related technologies.
Define and enforce AI-specific data quality standards and readiness gates to ensure data reliability for AI model training and deployment.
Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, Engineering, or related field.
8+ years experience in data engineering, data management, AI data foundations, or technology leadership roles.
Hands-on experience with AWS, Databricks (including Unity Catalog), Delta Lake, data lineage, observability, and production support.
Worksite: Hybrid location in Bengaluru.
Demonstrated ownership of mission-critical data products or pipelines with measurable business impact in AI contexts.
Experienced in defining and managing data contracts, quality gates, and service levels with multi-stakeholder collaboration across business, product, security, and engineering teams.
Comfortable operating at senior level with decision-making ability in ambiguous environments balancing trade-offs between speed, quality, security, and cost.