Senior Data Engineer
Illumina (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and operate Illumina's Databricks Lakehouse platform focusing on reliability, scalability, security, automation, governance, and cost efficiency.
- Design and build infrastructure-as-code, CI/CD pipelines, observability, and reusable patterns while setting platform engineering standards and managing platform roadmap.
- Mentor and develop platform engineering capability within a cross-skilled global team, enable AI-native platform capabilities, and manage platform security and compliance controls.
Minimum Requirements
- 3–5 years of professional data platform or data engineering experience including at least 2 years operating Databricks as an enterprise platform (administration, environment promotion, Unity Catalog).
- Strong skills in infrastructure-as-code (Terraform or equivalent), CI/CD (GitHub Actions or similar), Python, PySpark, and advanced SQL.
- Experience with platform operations (monitoring, incident management), Databricks FinOps, platform security and compliance (identity, secrets, RBAC, audit logging, PII handling).
- Bachelor's degree in Computer Science, Information Systems, Engineering or related field, or equivalent experience. Visa sponsorship is not available.
Ideal Candidate Profile
- Experienced in operating enterprise-scale Databricks platforms, including security and FinOps, with strong AWS fundamentals (S3, IAM, VPC, KMS).
- Skilled in automation and infrastructure engineering including IaC, CI/CD, and observability, with an ability to adopt AI-assisted engineering tools intelligently.
- Able to work effectively with global stakeholders, mentor engineers, and contribute to architecture decisions in a regulated environment.