Staff Technical Solutions Engineer Platform
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 act as the primary technical contact for escalated platform issues. You will troubleshoot incidents, coordinate root-cause resolution, monitor performance, manage upgrades and patches, document support procedures, and work with customers and internal teams to improve platform stability and support processes.
Requirements
- 12 years of experience in technical support or engineering
- Databricks architecture and Apache Spark
- AWS, Azure, or GCP
- Data pipeline design and management
- Distributed computing
- Unix or Linux administration
- DevOps practices
- Log analysis and monitoring tools
- Technical troubleshooting and problem-solving
- Verbal and written communication
- Customer interaction management
- Hadoop, Kafka, or NoSQL databases
- Automation tools and CI/CD pipelines
- Data governance and compliance
Responsibilities
- Provide expert troubleshooting, diagnostics, and resolution for escalated platform issues
- Engage customers to understand technical issues and provide actionable solutions
- Lead high-priority incident resolution and root cause analysis
- Collaborate with engineering, product management, and DevOps teams
- Create support documentation, knowledge-base content, and training materials
- Monitor platform performance and implement optimizations
- Manage platform upgrades and patches
- Collect customer feedback to improve support processes and platform features