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 performance and reliability issues across Spark, SQL, Delta, Streaming, and runtime features. You will build and deploy proof-of-concept solutions, monitor customer environments, develop support playbooks, and train customer teams. You will serve as a technical advisor during customer engagements and collaborate with engineering, field, sales, and product stakeholders.
Requirements
- 5–8 years of experience designing, building, and troubleshooting distributed computing applications
- 4+ years delivering production-scale Spark, machine learning, 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 with CI/CD, monitoring, and alerting
- 3–5 years of customer-facing technical experience
Responsibilities
- Troubleshoot and perform root-cause analysis for performance and reliability issues
- Identify monitoring requirements and optimize customer environments
- Build, test, deploy, and monitor proof-of-concept solutions
- Develop support playbooks and maintain a knowledge base
- Train customer teams on performance tuning, debugging, and platform features
- Pilot process improvements and enhance the customer experience
- Advocate for customers and act as their primary technical contact
- Collaborate onsite during customer engagements and technical presentations