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
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build relationships with customers in your territory alongside Account Executives, acting as a trusted advisor on big data analytics. You will move quickly from customer problem to working prototype by writing code, building demos and reusable assets, and using AI tools. You will author reference architectures and how-tos and lead workshops, seminars and meet-ups. This is an in-office role in Sao Paulo.
Requirements
- 1+ years of technical experience in a customer-facing 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 proficiency in SQL
- Ability to interact with customers confidently and professionally
- Meet technical training expectations within 6 months of hire
- Must be based in Sao Paulo
- Big Data experience (Spark, Hadoop, Kafka) is a plus
Responsibilities
- Build relationships with customers in your assigned territory alongside Account Executives
- Act as an expert and trusted advisor in big data analytics, architecture, design and implementation
- Build working prototypes, demos and reusable assets using code and AI tools
- Author reference architectures, how-tos and demo applications
- Lead workshops, seminars and meet-ups to build the Databricks community
- Grow into a technical and/or industry specialist