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Databricks admin

Exclusive opportunity

Hybrid

Databricks admin

Infosys

Databricks admin

Skills

Google Cloud PlatformSQL QueriesDatabricksJenkinsAWSGitHubPySparkComplianceAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Hybrid

Published on:

8 October 2026

What they need


Experience: 3-5 Years
Location: PAN India
Employment Type: Full-Time

  • Administer and maintain Databricks workspaces across development, testing, and production environments.
  • Manage Databricks clusters, cluster policies, pools, jobs, and notebooks.
  • Configure and maintain user access, RBAC, Unity Catalog, and security policies.
  • Monitor platform health, cluster utilization, job performance, and resource consumption.
  • Troubleshoot Databricks platform issues and provide timely resolution.
  • Implement best practices for governance, security, compliance, and cost optimization.
  • Manage integrations with cloud services such as Azure AD, AWS IAM, Key Vault, Secrets Manager, and cloud storage.
  • Support CI/CD implementations using Azure DevOps, GitHub Actions, or Jenkins.
  • Collaborate with Data Engineers, Data Scientists, and DevOps teams to ensure platform stability and scalability.
  • Perform workspace migrations, upgrades, and environment setup activities.
  • Create and maintain operational documentation, runbooks, and SOPs.

Required Skills

  • 35 years of experience in Databricks administration and support.
  • Strong knowledge of Databricks workspace management, clusters, jobs, and notebooks.
  • Experience with Unity Catalog, Data Governance, and Security Administration.
  • Hands-on experience with Azure Databricks, AWS Databricks, or GCP Databricks.
  • Knowledge of Spark, PySpark, and SQL.
  • Experience with cloud platforms (Azure/AWS/GCP).
  • Understanding of IAM, RBAC, SSO, SCIM provisioning, and access management.
  • Experience in monitoring and troubleshooting distributed data platforms.
  • Familiarity with Git, CI/CD pipelines, and Infrastructure as Code concepts.
  • Good understanding of data lake and cloud storage technologies.

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