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.
Maintainer signals as of 9/23/2026
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 specialized technical support for strategic customers, diagnose and resolve complex Spark and data-platform issues, develop and deploy tailored solutions, and improve operational practices. You will train customers, document reusable guidance, advocate for customer needs, and support customer engagements.
Requirements
- 8–12 years designing, building, and troubleshooting distributed computing applications
- 4+ years delivering production-scale Spark, ML, or AI solutions using Python, Java, or Scala
- Expertise with data lakes, SQL databases, and cloud data warehousing or ETL tools
- Knowledge of Spark internals, Delta or Iceberg, JVM optimization, and memory management
- Proficiency in machine learning, deep learning, and generative AI
- Experience with AWS, Azure, or GCP; CI/CD; monitoring; and alerting
- 3–5 years in a customer-facing technical role
- Strong communication, relationship-building, problem-solving, collaboration, and leadership skills
Responsibilities
- Troubleshoot and perform root-cause analysis for Spark, SQL, Delta, Streaming, and runtime issues
- Define continuous-monitoring requirements with R&D and NOC teams
- 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 processes and drive process improvements
- Advocate for customers in business reviews and act as a primary technical contact
- Collaborate onsite during customer engagements and technical presentations