Senior Data Engineer
Amgen (company site, opens in a new tab)9–12 yrsHyderabadOn-siteDirect career pageEst. 25–40 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and governance of the Databricks Data Intelligence Platform, establishing architecture, standards, and lifecycle management.
- Drive platform enablement through reusable APIs, automation, policy controls, cost management, and observability frameworks.
- Ensure secure, scalable platform capabilities supporting data engineering, BI, AI/ML teams without owning business-specific data pipelines.
Minimum Requirements
- 9 to 12 years relevant experience with enterprise Databricks platform ownership or technical leadership beyond notebook development.
- Bachelor's or Master's degree in computer science or engineering.
- Expertise in Databricks platform areas including administration, Unity Catalog security, Apache Spark, MLflow, and AI/ML model lifecycle management.
- Strong AWS skills (IAM, VPC, S3, EC2, KMS, CloudWatch) and experience with automation tools like Terraform, Databricks SDKs, CLI, and APIs.
Ideal Candidate Profile
- Experienced in shaping scalable platform architecture, governance, security, and FinOps for enterprise data platforms.
- Skilled in integrating Databricks with third-party tools for metadata, observability, and governed AI capabilities in regulated industries.
- Proficient in cross-team collaboration to drive platform adoption, standards enforcement, and developer enablement in Agile environments.