Senior 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 troubleshoot production performance and reliability issues, perform root-cause analysis, build and deploy solutions, and develop support playbooks. You will train customers, monitor environments, advocate for customer needs, and collaborate during technical engagements.
Requirements
- 8–12 years of experience 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.
- Knowledge of machine learning, deep learning, and generative AI.
- Experience with AWS, Azure, or GCP.
- Experience building CI/CD pipelines, monitoring, and alerting systems.
- 3–5 years of customer-facing technical experience.
- Problem-solving, risk mitigation, collaboration, leadership, and documentation skills.
Responsibilities
- Troubleshoot and perform root-cause analysis for Spark, SQL, Delta, Streaming, and runtime issues.
- Identify continuous-monitoring requirements and optimize customer environments.
- Build, test, deploy, and monitor solutions for customer challenges.
- Develop support playbooks and maintain a knowledge base.
- Train customer teams on performance tuning, debugging, and platform features.
- Pilot best-practice processes and improve customer experience.
- Advocate for customers and serve as a primary technical contact.
- Collaborate onsite during customer engagements and technical presentations.
- Travel approximately 20%.
Benefits
- Annual performance bonus eligibility.
- Equity eligibility.
