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Job Description

Job Title : Databricks Administrator


Experience Required : 7 to 15 Years


Work Location : Bangalore / Chennai / Hyderabad/ Pune/ Gurgaon/ Jaipur


Role Overview :


We are seeking an experienced Databricks Administrator to manage, optimize, and maintain our Databricks platform across multiple environments.


The ideal candidate will have a strong background in data engineering infrastructure, cluster management, security, governance, and automation within Databricks and related Azure/AWS ecosystems.


Key Responsibilities :


Databricks Platform Administration :


- Manage and maintain Databricks workspaces, clusters, jobs, pools, and libraries.


- Monitor performance and optimize resource utilization across environments (dev, test, prod).


- Implement autoscaling, cluster policies, and cost control measures.


Security & Access Management :


- Configure and maintain user/group access via Azure AD or IAM integration.


- Implement fine-grained access control using Unity Catalog and role-based permissions.


- Ensure compliance with enterprise data security standards.


Automation & CI/CD :


- Automate cluster provisioning, job deployment, and workspace management using Terraform, Databricks CLI, or REST APIs.


- Integrate Databricks with CI/CD tools like Azure DevOps, Jenkins, or GitHub Actions.


Monitoring & Troubleshooting :


- Proactively monitor cluster health, job performance, and data pipeline stability.


- Diagnose and resolve system, configuration, and performance issues.


- Implement alerting, logging, and audit trail monitoring.


Integration & Collaboration :


- Work with Data Engineers, DevOps, and Cloud teams to ensure smooth data operations.


- Support integration with Snowflake, Kafka, Azure Data Lake, or AWS S3.


- Collaborate on optimizing Spark configurations and ETL performance.


Governance & Compliance :


- Implement best practices for workspace and notebook governance.


- Manage version control for notebooks and data pipelines.


- Enforce tagging, cost allocation, and audit standards.


Required Skills & Qualifications :


- Bachelors degree in Computer Science, Engineering, or related field.


- 7+ years of experience in Data Engineering or Platform Administration, with at least 3+ years in Databricks Administration.


- Strong understanding of Apache Spark architecture and performance tuning.


- Hands-on experience with Azure Databricks or AWS Databricks environments.


- Proficiency with Terraform, Databricks CLI, REST APIs, and CI/CD pipelines.


- Expertise in cluster configuration, job scheduling, and resource optimization.


- Familiarity with Unity Catalog, Delta Lake, DBFS, and Lakehouse architecture.


- Experience integrating Databricks with ADLS, S3, Snowflake, Synapse, or Redshift.


- Strong problem-solving and scripting skills (Python, Shell, or PowerShell).


- Excellent communication and documentation abilities


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