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
- 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