Senior 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 serve as the frontline technical contact for escalated platform issues. You will troubleshoot complex problems, lead incident resolution and root-cause analysis, monitor performance, manage upgrades, document support knowledge, and work with engineering, product, DevOps, and customers to improve platform reliability.
Requirements
- Technical support
- Databricks
- Apache Spark
- AWS
- Azure
- GCP
- Data pipeline
- Distributed computing
- Unix
- Linux
- DevOps
- Log analysis
- Monitoring
- Problem-solving
- Communication
- Customer support
- Computer Science
- Engineering
- Hadoop
- Kafka
- NoSQL
- Automation
- CI/CD
- Data governance
- Compliance
Responsibilities
- Serve as the primary technical contact for escalated platform issues
- Troubleshoot and resolve complex performance and reliability problems
- Engage customers and provide actionable technical 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
- Analyze customer feedback to improve support processes and platform features