Staff Designated Support Engineer
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 provide high-touch technical support and tailored solutions for strategic customers. You will troubleshoot Spark, SQL, Delta, Streaming, and runtime issues; build and monitor proof-of-concept solutions; create playbooks; train customer teams; and collaborate with Field Engineering, Sales, Product, R&D, and NOC teams.
Requirements
- 10+ years designing, building, and troubleshooting distributed computing applications
- 4+ years delivering production-scale Spark, ML, or AI solutions
- Python, Java, or Scala
- Data Lakes, SQL databases, and cloud data warehousing or ETL tools
- Spark core internals, Delta or Iceberg, JVM optimisation, and memory management
- Machine Learning, Deep Learning, and Generative AI
- AWS, Azure, or GCP
- CI/CD, monitoring, and alerting systems
- 3–5 years in a customer-facing technical role
- Communication, relationship-building, and problem-solving skills
Responsibilities
- Troubleshoot and perform root cause analysis for Spark, SQL, Delta, Streaming, and runtime issues
- Discover requirements for continuous performance monitoring
- Build, test, deploy, and monitor proof-of-concept solutions
- Develop playbooks and maintain a knowledge base for Spark, ML, and AI workflows
- Train customer teams on performance tuning, debugging, and Databricks features
- Pilot best-practice programs and improve processes
- Advocate for customers and act as a primary technical contact
- Collaborate onsite with Field Engineering, Sales, and Product during customer engagements