Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Niche Databricks skillset and seniority reduce applicant density despite Bengaluru metro location.
Role requires specialized Databricks/data-product experience and governance, limiting cross-industry transferability.
Explicit 8+ years requirement plus mandatory Databricks, Unity Catalog, and AWS expertise creates high filtering.
Lead strategy, governance, and productization of AI-ready data products for scalable and reliable AI solutions across the enterprise.
Own AI data product roadmaps, data quality standards, and operational excellence including automated quality controls and readiness gates.
Optimize data ingestion pipelines, platform cost efficiency, and drive dashboard-to-data-product transformations with accountability for data health and platform reliability.
Bachelor’s degree in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or related field.
Minimum 8 years experience in data engineering, data management, AI data foundations, or related technology leadership roles.
Hands-on experience with AWS, Databricks (including Delta Lake, Unity Catalog), data lineage, observability, and production support.
Work location: Hybrid position based in Bengaluru.
Experienced in defining and managing data contracts, quality gates, service levels, and data access models in complex enterprise environments.
Capable of senior-level strategic decision-making, stakeholder management across technical and business teams, and navigating ambiguity.
Proven ownership of mission-critical data products or pipelines delivering measurable business outcomes with strong focus on data quality and operational excellence.