Solutions 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
About the Role
You will build relationships with customers across your territory alongside Account Executives, acting as an expert in AI and data analytics and a trusted advisor on architecture, design and implementation. You will move quickly from customer problem to working prototype, use AI tools to boost productivity, author reference architectures, how-tos and demo apps, lead workshops and meet-ups, and grow into a technical or industry specialist. This is an in-office role in Chicago.
Requirements
- 2+ years of technical experience in a customer-facing solutions engineering role
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering or equivalent experience
- Builder mindset with comfort using AI-assisted development tools
- Hands-on experience with Python, Java or Scala, and SQL proficiency
- Ability to interact with customers confidently and professionally
- Able to meet training and role outcomes within 6 months
- Based in Chicago, IL (no relocation assistance)
Responsibilities
- Build relationships with customers in your territory with Account Executives
- Act as an expert and trusted advisor on AI and data analytics
- Build working prototypes, demos and reusable assets
- Use AI tools to increase productivity
- Author reference architectures, how-tos and demo applications
- Lead workshops, seminars and meet-ups
- Grow into a technical and/or industry specialist