Solutions Architect - Digital Native Business, Named Accounts
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 partner with the sales team and provide technical leadership to help customers solve business problems with Databricks. You will consult on big data architectures, build proofs of concept across data engineering, data science, ML and SQL analytics, validate integrations, and promote open-source projects like Spark, Delta Lake and MLflow.
Requirements
- 5+ years in data engineering, data science, technical architecture or pre-sales/consulting
- Experience building distributed data systems
- Python and SQL programming and debugging
- Built solutions on AWS, Azure or GCP
- Expertise in data engineering or data science/ML technologies
- Available to travel to customers in your region
Responsibilities
- Partner with sales and provide technical leadership to customers
- Consult on big data architectures
- Implement proofs of concept for strategic projects
- Validate integrations with cloud services and third-party applications
- Collaborate with fellow Solutions Architects
- Promote Databricks-inspired open-source projects and recruit contributors
Benefits
- Annual performance bonus eligibility
- Equity eligibility