Sr. Solutions Engineer - Digital Native Business (Strategic 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 independently lead technical engagements for Digital Native customers, owning discovery, solution design and platform demonstrations. You will build proofs-of-concept and live demos, own frontline technical relationships, and work with your Account Executive to expand platform usage.
Requirements
- 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting
- Proficient in Python and SQL with live coding interview
- Hands-on experience with a public cloud platform (AWS, Azure, or GCP)
- Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, Flink
- Experience leading technical customer conversations
- Familiarity with data engineering, data science/ML, or SQL analytics
- Strong presentation and demo skills
- Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline (or equivalent experience)
Responsibilities
- Lead technical discovery and solution design for data engineering, analytics and machine learning workloads
- Build and deliver proofs-of-concept and live demos on the Databricks Platform
- Own frontline technical relationships with customer engineers, data teams and technical leads
- Develop account-level technical strategies with your Account Executive
- Articulate Databricks differentiation through hands-on demonstrations
- Contribute reusable technical assets to the SA community
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check