
Cloud Databricks Operations Specialist
2 days ago
Our organization is seeking a skilled Cloud Databricks Administrator to join our Engineering team. This role will play a key part in operational support, defect management, and proactive issue resolution to keep data pipelines running smoothly.
- Monitor hourly and daily Databricks jobs, investigate failures, and implement fixes to minimize downtime.
- Identify, log, and track defects/bugs through ticketing systems, ensuring timely resolution.
- Manage Databricks access via Azure AD groups with Admin, Edit, and Read permissions.
- Provide production support for Databricks environments, including cluster operations, job failures, and notebook troubleshooting.
- Collaborate with data engineers and platform teams to resolve platform-related incidents and performance bottlenecks.
- Proactively monitor system health, resource utilization, and performance metrics.
- Implement and enforce archival/retention policies for Databricks storage to optimize costs and performance.
- Support CI/CD pipelines (Jenkins, Azure Automation) and automate repetitive operational tasks.
- Maintain technical documentation, SOPs, and runbooks for Databricks operations.
- Evaluate security compliance with RBAC, MFA, and encryption best practices.
- Hands-on experience with Databricks and Apache Spark in production environments.
- Strong knowledge of Azure (AWS/GCP acceptable) and cloud-native services.
- Experience in SRE or production support environments with SLAs and ticketing systems.
- Proficiency in Python or Scala for data processing and automation.
- Familiarity with Power BI/Tableau for building monitoring and cost dashboards.
- Knowledge of CI/CD tools, version control (Git), and scripting languages.
- Understanding of cloud cost optimization and usage tracking.
- Experience with Databricks Lakehouse/Madelaine architecture.
- Background in monitoring, logging, and incident response for data platforms.
- Exposure to Kubernetes, Docker, and Terraform.
- Bachelor's degree in Computer Science, IT, or equivalent professional experience.
- 5+ years in data engineering, cloud operations, or database administration.
- Proven ability to troubleshoot, communicate effectively, and collaborate across teams in a fast-paced environment.
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