Senior 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 independently own complex customer engagements from pre-sales evaluation through onboarding and production. You will provide technical direction on the Data + AI Platform, advise multiple customers concurrently, and build reusable AI-augmented workflows that help deliver high-quality guidance at scale.
Requirements
- Communication
- Interpersonal communication
- Computer Science
- Information Systems
- Data
- Artificial intelligence
- Cloud computing
- AWS
- Azure
- GCP
- Python
- SQL
- Data analytics
- Data engineering
- Time management
- Prioritization
- Automation
- Consulting
- Pre-sales
- Agentic solution
Responsibilities
- Own customer engagements across their lifecycle
- Advise customers on the Databricks Data + AI Platform
- Set technical direction and build reusable AI-augmented workflows
- Work with multiple customers concurrently
- Set the quality bar for customer guidance