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
Role : Databricks Support Engineer Location: Detroit MI Dayone 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 b...
Role : Databricks Support Engineer
Location: Detroit MI Dayone 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.)