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Mid-level, metro role with broad Databricks/MLOps requirements and moderate brand increases applicant competition.
Requires pharma regulatory familiarity and Databricks/MLOps expertise, making cross-industry moves moderately sensitive.
Explicit 5+ years and many mandatory platform and regulatory requirements raise shortlisting strictness.
Design, build, and operate enterprise-scale data engineering and ML engineering systems on Databricks for analytics, data science, and AI/ML use cases at Bristol Myers Squibb.
Deliver and maintain production-grade data and ML pipelines, ensuring scalability, reliability, and compliance with pharmaceutical standards including GxP and HIPAA.
Lead cloud migration and modernization initiatives, collaborate across US and Hyderabad teams, and contribute to team standards, code reviews, and junior engineer development.
Bachelor's or higher degree in Computer Science, Data Engineering, Data Science, or related field.
At least 5 years of hands-on experience in data engineering and/or MLOps, preferably in biopharma or life sciences industry.
Proven experience with Databricks Lakehouse platform including Delta Lake, Unity Catalog, Workflows, and Databricks Asset Bundles.
Experience with cloud platforms (AWS, Azure), Kubernetes, pharma regulatory standards (GxP, HIPAA), and cross-geo collaboration preferred.
Senior individual contributor with deep practical expertise in Databricks Lakehouse and MLOps building scalable pipelines end-to-end in production.
Experienced in leading cloud migration/modernization initiatives at enterprise scale involving AWS, Kubernetes, and Databricks.
Comfortable operating in regulated pharmaceutical environment ensuring compliance and collaborating effectively with US counterparts and cross-functional teams.