Sr. Data & AI Engineer, Commercialization
Bristol Myers Squibb (company site, opens in a new tab)6–8 yrsHyderabadOn-siteDirect career pageEst. 20–34 LPA
Posted 6h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and maintain the Databricks-native data environment including jobs, workflows, notebooks, and Unity Catalog, ensuring reliability and proactive issue resolution.
- Design and build AI-based engineering tools (agents, copilots, LLM-assisted tooling) that improve data quality and accelerate team delivery.
- Develop observability layers for monitoring and alerting, build reusable frameworks, lead root cause analysis of production issues, and set technical standards for the team.
Minimum Requirements
- 6–8 years of experience building and owning production data/AI systems, with substantial Databricks experience.
- Proficiency in Python, PySpark, SQL, and experience with AWS data services such as Glue, Lambda, S3, Athena.
- Experience building AI-for-Engineering tooling that has measurably improved team delivery is mandatory.
- Degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
Ideal Candidate Profile
- Experienced in operating and advancing production Databricks environments with expertise in Delta Lake internals and Unity Catalog.
- Skilled in developing AI agent frameworks and embedding observability as a proactive, default practice.
- Proven ability in mentoring engineers, setting technical direction, and managing complex data governance and integration challenges, preferably with pharma commercial data.