Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)
Databricks Mosaic · London, United Kingdom
CHECKED 15H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Independently lead discovery, design and live demos driving Databricks adoption.
- Own frontline customer relationships and shape account growth strategies.
- Build proofs-of-concept and reusable assets for the SA community.
Ideal candidate
A hands-on builder and engaging presenter who thrives in front of customers, turning discovery into compelling solutions and long-term partnerships.
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, Delta Lake or equivalent
- Experience leading technical customer conversations including discovery and architecture reviews
- Strong presentation and demo skills
- 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