Gautam Buddha Nagar, Uttar Pradesh
Job Summary
Job Description Databricks Administrator – Platform Support Role Summary We are looking for an experienced Databricks Administrator to provide platform support, administration, and operational stability for Databricks environments. The role focuses on workspace management, security, performance, cost optimization, monitoring, and incident support, ensuring a reliable and scalable analytics platform for business and engineering teams. Key Responsibilities Platform Administration & Support Administer and maintain Databricks workspaces across Development, Test, and Production environments Manage cluster configurations, policies, pools, and job scheduling Provide L2/L3 platform support for Databricks-related incidents, service requests, and problem management Perform health checks and ensure high availability and platform stability Support workspace onboarding/offboarding for users and teams Security & Access Management Configure and manage user access, groups, and permissions using Databricks IAM and cloud IAM tools Implement role-based access control (RBAC) and workspace security best practices Manage secrets using Databricks Secrets integrated with cloud key vaults Support compliance requirements (SOX, GDPR, ISO, etc.) Cloud & Infrastructure Integration Work with cloud services such as Azure (ADLS, ADF, Key Vault) or AWS (S3, IAM, Glue) Manage networking setups including VNET/VPC, private endpoints, firewall rules Coordinate with cloud platform teams for infrastructure-related issues Monitoring, Performance & Cost Optimization Monitor cluster utilization, job performance, and platform metrics Identify and resolve performance bottlenecks across Spark workloads Implement cost optimization strategies (cluster sizing, auto-scaling, auto-termination) Generate usage and cost reports for stakeholders Automation & DevOps Support CI/CD pipelines for Databricks artifacts using tools like Azure DevOps, GitHub, or GitLab Automate workspace and cluster management using Databricks REST APIs, Terraform, or scripting Maintain configuration consistency across environments
Key Responsibilities
Documentation & Governance
Create and maintain platform runbooks, SOPs, and support documentation
Enforce platform governance standards and coding best practices
Provide usage guidelines and operational best practices to engineering teams
Required Skills & Qualifications
Technical Skills
Strong hands-on experience administering Databricks on Azure or AWS
Solid understanding of Apache Spark architecture
Experience with:
Databricks clusters, jobs, workflows, and notebooks
Workspace security, IAM, and secrets management
Monitoring and troubleshooting Spark jobs
Proficiency in SQL and basic Python / Scala for operational support
Experience with cloud storage and services (ADLS Gen2 / S3)
Familiarity with Terraform or Infrastructure as Code is a strong plus
Platform & Support Skills
Experience working in production support environments
Strong incident management and root cause analysis skills
Ability to handle multiple priorities in a 24x7 or on-call support model
Good understanding of ITIL processes (Incident, Problem, Change Management)
Preferred Qualifications
Databricks Certified:
Databricks Data Engineer Associate / Professional
Databricks Platform Administrator (preferred)
Experience supporting enterprise-scale data platforms
Knowledge of Delta Lake, Unity Catalog , and data governance models
Exposure to DevOps, CI/CD pipelines, and automation tools
Soft Skills
Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Proactive mindset with attention to detail
Ability to work collaboratively across data, cloud, and security teams
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