Solutions Architect
Databricks Mosaic · London, United Kingdom
CHECKED 13H AGO
InfrastructureonsiteSenior
At a glance
Highlights
- Own end-to-end technical strategy from discovery to production deployment.
- Design scalable production-grade solutions across data, ML/AI and analytics.
- Advise customer architects and directors as trusted data and AI strategist.
Ideal candidate
Strategic, hands-on architect who loves owning customer technical strategy and translating complex ideas into business value for senior leaders.
Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on technical role
- Strong coding proficiency in Python and SQL with live coding, debugging and solution-building skills
- Deep expertise in distributed data systems architecture, scalable pipelines and lakehouse patterns
- Proficient on Databricks Platform with developing technical specialization in one domain
- Proven ability to lead architecture discussions with senior technical stakeholders
- Experience with production deployments on AWS, Azure, or GCP including security and governance
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication translating complex architectures into business value
- Bachelor's or Master's in Computer Science, Engineering or quantitative discipline
- 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