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Solutions Architect (Digital Native Business)

Databricks Mosaic · London, United Kingdom

CHECKED 14H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Own end-to-end technical strategy from discovery to production deployment and growth.
  • Design scalable production-grade solutions across data engineering, ML and AI.
  • Act as trusted advisor to customer architects while influencing product direction.

Ideal candidate

A strategic yet hands-on architect who thrives advising senior technical leaders and turning complex data challenges into production-scale solutions. You enjoy owning customer outcomes and growing deep expertise in a specialist domain.

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, scalable pipelines, streaming and lakehouse patterns
  • Proficient on Databricks Platform with developing specialisation in areas like streaming, ML/AI or governance
  • Proven ability to lead architecture discussions with senior stakeholders including whiteboarding and design reviews
  • Experience with production deployments on AWS, Azure or GCP including infrastructure, security and governance
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills translating complex architectures into business value
  • 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
More about Databricks Mosaic →
Apply on the lab’s site ↗