Solutions Architect
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 build relationships with clients across your territory, working with Account Executives to deliver technical and business value. You will act as a big data analytics expert and trusted advisor, author reference architectures, how-tos and demo applications, and lead workshops, seminars and meet-ups.
Requirements
- Prior coding experience in a core programming language (Python, Java, Scala) and willingness to learn base-level Spark
- Proficiency with Big Data Analytics technologies, including hands-on complex proofs-of-concept and public cloud platforms
- Experience in use case discovery, scoping and delivering complex solution architecture designs
- Ability to context switch across levels of technical depth
Responsibilities
- Form relationships with clients in your territory in collaboration with Account Executives
- Advise customers on architecture, design and implementation for adoption of the Databricks Data Intelligence Platform
- Author reference architectures, how-tos and demo applications
- Lead workshops, seminars and meet-ups
- Engage customers in technical sales and communicate technical and value propositions