Scale Solution 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 technical assistance to customers from pre-sales evaluation through onboarding and production. You will use AI-augmented workflows to deliver guidance at scale, become an expert in the Data + AI Platform, and help customers make sound technical decisions and implement solutions.
Requirements
- Excellent communication and interpersonal skills
- Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience
- 1+ years of experience in a technical role, preferably in Data, AI, or Cloud
- Knowledge of AWS, Azure, or GCP
- Knowledge of AI-driven development using Python or SQL
- Understanding of end-to-end data analytics and data engineering workflows
- Time management and prioritization skills
Responsibilities
- Provide technical assistance to customers throughout their lifecycle
- Guide customers in making technical decisions through AI-augmented workflows
- Work concurrently with multiple customers to provide technical solutions
- Develop expertise in the Databricks Data + AI Platform