Data & AI Platform Engineer II, Commercialization
Bristol Myers Squibb (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 18h ago
Reach people at Bristol Myers Squibb
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Bristol Myers Squibb you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build, configure, and operate Databricks and Unity Catalog platform components to support commercial data products.
- Manage cloud infrastructure tasks including provisioning, cost management, and performance tuning for the data platform.
- Ensure platform reliability and security by implementing access controls, monitoring, and configuration management in coordination with Enterprise IT and data architects.
Minimum Requirements
- 3–5 years of experience in platform engineering, cloud infrastructure, DevOps, or data platform administration.
- Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
- Hands-on experience administering Databricks environment including Unity Catalog in production.
- Experience with cloud platforms (AWS preferred) relevant to data engineering workloads.
Ideal Candidate Profile
- Experienced in managing and securing commercial data platforms within regulated or pharma environments.
- Skilled in cross-team collaboration involving Enterprise IT and data engineering teams for platform integration and architecture alignment.
- Proficient in platform automation scripting (SQL, Python) and infrastructure-as-code for reproducible configuration management.