Job Summary:
We are seeking a highly experienced Databricks Administrator with 10+ years of overall IT experience to manage, support, and optimize our Databricks environment. The ideal candidate will have strong expertise in data platforms, cloud infrastructure, and enterprise-level system administration, ensuring a secure, scalable, and high-performing analytics ecosystem.
Roles and Responsibilities:
Administer and support the Databricks platform across development, test, and production environments
Manage workspace configuration, cluster policies, job scheduling, and platform settings
Monitor system performance, usage, and cost optimization
Implement and manage user access, roles, permissions, and security controls
Integrate Databricks with cloud platforms such as Azure, AWS, or GCP
Support deployment of notebooks, jobs, and workflows
Troubleshoot platform, connectivity, and performance issues
Ensure platform reliability with backup, recovery, and high availability practices
Collaborate with data engineers, architects, analysts, and business stakeholders
Implement governance, compliance, and security best practices
Maintain technical documentation and operational procedures
Support upgrades, patches, and new feature implementations
Required Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field
15+ years of overall IT experience, with significant experience in data platforms and cloud environments
Hands-on experience administering Databricks environments
Strong knowledge of Apache Spark, cluster management, and distributed systems
Experience with cloud platforms (Azure, AWS, or GCP)
Strong understanding of IAM, networking, and security best practices
Experience with monitoring, troubleshooting, and performance tuning
Proficiency in SQL, Python, and scripting for automation
Excellent communication and problem-solving skills
Preferred Skills:
Experience with CI/CD pipelines and DevOps practices
Familiarity with Delta Lake, Unity Catalog, and data governance frameworks
Experience in enterprise data warehouse or big data environments
Databricks or cloud certifications preferred