Senior Solutions Engineer (Presales, Technical, Data and AI)
Databricks Mosaic · London, United Kingdom
CHECKED 14H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Independently lead technical discovery and solution design for customers.
- Build and deliver compelling proofs-of-concept and live demos.
- Develop account strategies to expand platform usage and adoption.
Ideal candidate
A builder who loves coding, architecting and presenting to customers. You thrive owning frontline relationships and turning complex challenges into solutions that drive adoption.
Requirements
- 4+ years in data engineering, solutions architecture, technical pre-sales or hands-on consulting
- Proficient in Python and SQL with ability to write production-quality code
- Hands-on experience designing data solutions on AWS, Azure or GCP
- Working knowledge of distributed data systems such as Apache Spark and Delta Lake
- Experience leading technical customer conversations including discovery and architecture reviews
- Strong presentation and demo skills with ability to build live solutions
- Bachelor's or Master's in Computer Science, Engineering or quantitative discipline or equivalent experience
- hiring process
- Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration