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Senior Data Engineer

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Senior Data Engineer in Others

  • Illumina
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Own workspace- and account-level Databricks architecture, including Unity Catalog, compute policies, Lakeflow Jobs, identity, secrets, audit logging, storage integration, upgrades, and environment promotion.
  • Design, build, and review infrastructure-as-code, CI/CD, observability, reusable standards, reference architectures, and self-service platform patterns.
  • Own platform reliability, including availability, capacity, incident management, root-cause analysis, disaster recovery/business continuity, and service-level objectives.
  • Manage Databricks FinOps activities including consumption monitoring, cost optimization, budgets, anomaly management, and chargeback/showback.
  • Implement platform security and governance controls covering identity federation, SCIM, service principals, network controls, secrets, RBAC/ABAC, masking, PII, lineage, and audit.
  • Enable and operate Databricks capabilities for AI/ML workloads, including MLflow, Model Serving, vector search, and GenAI infrastructure patterns.
  • Build and maintain PySpark, SQL, Delta Lake, and Auto Loader reference implementations and paved-road patterns.
  • Own the platform roadmap, contribute to architecture decisions and engineering standards, lead code reviews, and mentor engineers.

Requirements

  • 3–5 years of professional data platform or data engineering experience, including at least 2 years administering and operating Databricks in production as an enterprise platform.
  • Experience designing, building, and reviewing infrastructure-as-code using Terraform or an equivalent, plus CI/CD for data platforms using GitHub Actions, AWS CodePipeline, or similar tools.
  • Strong Python and PySpark skills and advanced SQL knowledge.
  • Experience with monitoring, alerting, incident management, runbooks, capacity management, and performance management.
  • Experience with Databricks cost management and FinOps practices.
  • Experience with platform security and compliance, including identity, service principals, secrets, network controls, audit logging, RBAC, PII handling, and controls such as SOX.
  • Understanding of distributed systems and system design for large-scale data processing.
  • Strong AWS fundamentals, including S3, IAM, VPC, networking, and KMS, and knowledge of Databricks integrations with AWS.
  • Demonstrated use of AI-assisted engineering tools, or willingness and ability to adopt them, across coding, infrastructure-as-code, testing, documentation, and troubleshooting.
  • Strong written and verbal communication skills with the ability to work with global stakeholders and lead technical discussions.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent demonstrable experience.
  • Preferred qualifications include Databricks Certified Data Engineer Professional or AWS Certified Solutions Architect certifications, compliance-driven platform experience, mentoring experience, platform migration experience, and global delivery experience.

Benefits

  • Inclusive workplace with employee resource groups, career development opportunities, cultural awareness initiatives, and social responsibility opportunities.
  • Equal opportunity employer with accommodation support available during the application or interview process.
  • This role is not eligible for visa sponsorship.

Illumina

Illumina builds next-generation DNA sequencing systems, reagents/consumables, and bioinformatics software used by research, clinical, pharmaceutical, and agricultural genomics labs. Its business model combines sale of instruments with recurring consumables, sequencing services, and cloud analysis...

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