Data & AI Platform Engineer II, Commercialization
Bristol Myers Squibb (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 14–24 LPA
Posted 11h 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 data products.
- Manage cloud engineering tasks including provisioning, cost management, and performance tuning of cloud infrastructure, ensuring alignment with enterprise architecture standards.
- Support platform reliability and security through access controls, monitoring, configuration management, and troubleshooting platform-level issues affecting pipeline execution.
Minimum Requirements
- 3–5 years of experience in platform engineering, cloud infrastructure, DevOps, or data platform administration.
- Experience administering or operating Databricks environment including Unity Catalog in production.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or related field, or equivalent practical experience.
- Experience with cloud platforms (AWS preferred) supporting data engineering workloads.
Ideal Candidate Profile
- Experienced in coordinating with central Enterprise IT or platform teams on integration and architecture standards.
- Strong understanding of access control, security, compliance, and data governance for sensitive commercial pharma data.
- Proficient in platform automation using SQL and Python scripting with familiarity in infrastructure-as-code and software engineering best practices (Git, CI/CD).