Sr. 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 clients across your territory alongside an Account Executive and a Senior Solutions Architect. You will run hands-on evaluations and Spark programming, author reference architectures, how-tos and demo applications, engage in workshops and meet-ups, and grow toward independently operating as a Solutions Architect.
Requirements
- Familiarity working with clients and achieving tangible outcomes
- Ability to independently deliver a technical proposition and identify customer pain-points
- Coding in a core language such as Python
- Knowledge of a core Big Data Analytics domain with exposure to proofs-of-concept and a major public cloud platform
- Experience in solution architecture and Data Engineering
Responsibilities
- Build client relationships across your territory with Account Executive and Senior Solutions Architect
- Run hands-on evaluations and Spark programming integrating with cloud ecosystem and third-party applications
- Engage in workshops, seminars and meet-ups
- Advise on big data analytics architecture and design
- Author reference architectures, how-tos and demo applications