Databricks Support Engineer (Production Support)

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Role : Databricks Support Engineer

Location: Detroit MI – Onsite

Duration : Long Term

Must take calls on Saturday with engineers.

About role - We are seeking a Databricks Support Engineer with strong experience in production support and data platform operations. The ideal candidate will be responsible for monitoring, troubleshooting, and maintaining Databricks-based data pipelines and ensuring high availability of data platforms. This role requires hands-on expertise in handling P1/P2 incidents, supporting critical data workloads, and working closely with data engineering and DevOps teams in a fast-paced environment.

Key Responsibilities

• Provide production support for Databricks-based data pipelines and workflows
• Monitor jobs, clusters, and data pipelines to ensure smooth operations
• Handle P1/P2 incidents, perform troubleshooting, and ensure timely resolution
• Perform root cause analysis (RCA) and implement preventive measures
• Support batch and streaming data pipelines built using Databricks (PySpark/SQL)
• Manage and optimize Databricks clusters for performance and cost
• Work closely with Data Engineering, DevOps, and Business teams during issue resolution
• Ensure adherence to SLAs and maintain system uptime
• Maintain logs, documentation, and incident reports
• Participate in on-call rotation and weekend (Saturday) support
  
  

Required Skills

• Strong hands-on experience with Databricks
• Experience in production support / incident management (P1/P2)
• Good knowledge of PySpark and SQL
• Experience with Delta Lake, data pipelines, and ETL workflows
• Familiarity with job scheduling tools (Databricks Workflows, Airflow, Control-M, etc.)
• Strong troubleshooting and debugging skills
• Understanding of monitoring and alerting tools