Databricks Platform Engineer
Experience : 8 + Years
Work Timings : 5 : 00 PM - 2 : 30 AM IST
Notice Period : Immediate to 15 Days
Preferred Cloud Platform : AWS
Job Description
We are looking for an experienced Databricks Platform Engineer to manage and optimize enterprise Databricks environments. The ideal candidate will have strong expertise in Databricks platform administration, workspace configuration, Unity Catalog, access management, workplace governance, and platform monitoring. The role focuses on maintaining a secure, reliable, and cost-efficient Databricks ecosystem for data engineering and analytics teams.
Key Responsibilities
• Platform Administration : Configure and administer Databricks workspaces, compute resources, cluster policies, runtime configurations, and workspace-level settings.
• Unity Catalog and Governance : Manage catalogs, schemas, permissions, data access policies, and metadata governance to ensure secure and controlled access to enterprise data.
• Databricks Workflows : Configure and manage job scheduling, task dependencies,
workflow execution, retries, and failure handling.
• Delta Live Tables (DLT) : Support the configuration and administration of DLT pipelines, monitoring, pipeline reliability, and data quality expectations.
• Environment Management : Maintain development, staging, and production environments with consistent configurations, controlled access, and standardized release procedures.
• Infrastructure Automation : Use Terraform or equivalent Infrastructure as Code tools to automate workspace provisioning, configuration management, and platform changes.
• Version Control and Change Management : Use GitHub to manage platform configurations, track changes, maintain code repositories, and support controlled deployments.
• Monitoring and Incident Management : Monitor platform availability, job failures, compute utilization, and resource consumption. Investigate incidents and implement preventive measures.
• Security a
📌 GyanSys - Databricks Platform Engineer (India)
🏢 GyanSys
📍 India