Data & AI Platform Engineer II, Commercialization
Bristol Myers Squibb (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, configure, and operate Databricks and Unity Catalog platform components supporting Commercial Data & AI team's data products.
- Manage cloud engineering aspects including provisioning, cost management, performance tuning, and ensure platform reliability and security via access controls and monitoring.
- Coordinate with Enterprise IT on systems integration, platform architecture standards, and rollout of new platform capabilities.
Minimum Requirements
- Hands-on experience with Databricks platform administration including workspace, cluster, jobs, Unity Catalog, and Delta Lake concepts.
- Proficiency in SQL and Python for automation and configuration scripting of platform tasks.
- Experience with cloud infrastructure fundamentals relevant to Databricks (e.g., AWS storage, compute, networking, IAM).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in platform engineering roles supporting enterprise-scale data platforms with a focus on security, reliability, and performance tuning.
- Comfortable working cross-functionally with Enterprise IT and data engineering teams to ensure platform integration and governance compliance.
- Skilled in infrastructure-as-code, configuration management, and software engineering practices like version control and CI/CD for reproducible platform operations.