Sr. Solutions Engineer - AI Natives Business
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 understand how Databricks solves their business problems. You will consult on big data architectures, implement proofs of concept, validate integrations, and promote open-source projects like Spark, Delta Lake and MLflow.
Requirements
- 4+ years in data engineering, data science, technical architecture or pre-sales/consulting
- Experience building distributed data systems
- Comfortable programming in and debugging Python and SQL
- Built solutions with AWS, Azure, or GCP
- Expertise in data engineering or data science and machine learning technologies
- Available to travel to customers in your region
Responsibilities
- Partner with sales team and provide technical leadership to customers
- Consult on Big Data architectures and implement proofs of concept across data engineering, data science, machine learning and SQL analysis
- Validate integrations with cloud services, home grown tools and third-party applications
- Collaborate with fellow Solutions Architects
- Promote and recruit contributors for open-source projects (Spark, Delta Lake, MLflow)