Solutions Architect - Emerging Enterprise
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 provide technical leadership to customers evaluating Databricks, consult on big data architecture, build proofs of concept, validate integrations, and create reference architectures and demos. You will handle escalated support issues, evangelize open-source projects, and travel to customers up to 30%.
Requirements
- 3+ years in customer-facing pre-sales, technical architecture or consulting role
- Experience designing distributed data systems
- Programming and debugging in at least one of Python, Scala, Java, SQL or R
- Built solutions on AWS, Azure or GCP
- Experience in data engineering, data warehousing or data science/ML
- Comfortable communicating via presentations, whiteboarding and demos
Responsibilities
- Provide technical leadership for customers evaluating and adopting Databricks
- Consult on big data architecture and implement proofs of concept
- Build and present reference architectures, technical guides and demo applications
- Provide escalated support for critical customer issues
- Evangelize open-source projects (Spark, Delta Lake, MLflow, Koalas) through meetups, conferences and webinars
- Support fellow SAs and drive cross-functional relationships
- Travel to customers up to 30%
Benefits
- Annual performance bonus eligibility
- Equity eligibility