Databricks Platform Engineer

Experience: 5+ years overall, including 3+ years in Databricks Administration
Location: PAN India – Hybrid
Preferred Locations: Chennai, Bangalore, Hyderabad, Noida, Mumbai, Kolkata, Nagpur, Warangal, Bhubaneswar
Employment Type: Full Time
Budget: Upto 21 LPA
Function: Data Platform Engineering & Cloud Operations
Client Requirement
Our client is looking for an experienced Databricks Platform Engineer / Administrator for this position to manage and optimize enterprise Databricks environments on AWS, focusing on platform administration, governance, automation, security, cost optimization, and production support.
Key Responsibilities
Administer Databricks workspaces, clusters, compute policies, jobs, and access controls.
Manage Unity Catalog, data governance, workspace security, and permissions.
Support AWS platform operations, monitoring, incident management, troubleshooting, and root cause analysis.
Automate provisioning using Terraform, Databricks REST APIs/CLI, Python, and shell scripting.
Optimize platform performance, resource utilization, and cloud costs.
Support deployments, CI/CD, capacity planning, and operational documentation.
Mandatory Skills
5+ years overall experience, including 3+ years of hands-on Databricks Administration.
Databricks Account/Workspace Administration and platform operations.
Unity Catalog, cluster management, compute policies, and access governance.
AWS: IAM, S3, VPC, KMS, CloudWatch, security controls, and networking.
Terraform / Infrastructure as Code (IaC).
Databricks REST APIs, CLI, Python automation, and shell scripting.
Production support, monitoring, incident management, and troubleshooting.
Cost optimization, platform governance, and cloud security.
Working knowledge of SQL, ETL pipelines, and workflow scheduling.
Good to Have
Databricks Administrator / Data Engineer certification.
AWS Associate-level certification or above.
GitHub Actions, Jenkins, or Azure DevOps.
Apache Spark, Kafka/streaming, Lakehouse architecture, and observability tools.
Education: Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred.

Work arrangement
Hybrid