Senior Technical Solutions Backline
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will resolve complex Databricks Platform escalations and act as the technical bridge between support and engineering. You will analyze metrics and logs, provide performance guidance, create troubleshooting resources, contribute automation, coordinate issue resolution, improve product supportability, and join an on-call rotation.
Requirements
- Java
- Scala
- Python
- Shell
- Troubleshooting
- Distributed computing
- Big data
- SQL
- Database
- Linux
- Network troubleshooting
- AWS
- Azure
- GCP
- Computer Science
Responsibilities
- Troubleshoot and resolve complex customer issues using component metrics and logs
- Provide performance guidance and product-improvement feedback
- Create detailed troubleshooting guides and runbooks
- Contribute to troubleshooting automation and tooling
- Partner with engineering on features and releases
- Contribute supportability features to the product
- Coordinate with engineering and escalation teams to resolve customer issues
- Participate in weekend and weekday on-call rotations