Senior Solutions Engineer
Databricks Mosaic · London, United Kingdom
CHECKED 14H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Lead technical discovery and solution design for diverse customer workloads.
- Build and deliver live demos and proofs-of-concept that drive technical wins.
- Own frontline customer relationships and shape account technical strategy.
Ideal candidate
A builder-minded, customer-facing engineer who thrives leading discovery and live demos, combining technical depth with strong presentation skills to grow 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 like Apache Spark and Delta Lake
- Experience leading technical discovery, whiteboarding and architecture reviews
- Familiarity with data engineering, data science/ML or SQL analytics
- Strong presentation and demo skills with live solution building
- Bachelor's or Master's in Computer Science, Engineering or quantitative field
- 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