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
About the Role
You will build relationships with clients across your territory alongside Account Executives, acting as an expert in big data analytics and trusted advisor on architecture, design and implementation. You will author reference architectures, how-tos and demo applications, and lead workshops, seminars and meet-ups in your region.
Requirements
- Engage customers in technical sales and communicate technical and value propositions
- Develop customer relationships and internal partnerships
- Coding experience in a core language (Python, Java, Scala) and willingness to learn Spark
- Proficiency with Big Data Analytics technologies, complex proofs-of-concept and public cloud platforms
- Experience in use case discovery, scoping and delivering complex solution architecture designs
Responsibilities
- Form relationships with clients in your territory in collaboration with Account Executives
- Act as a trusted advisor on architecture, design and implementation for adopting the Databricks Data Intelligence Platform
- Author reference architectures, how-tos and demo applications
- Lead workshops, seminars and meet-ups
- Grow into a technical and/or industry specialist
