Senior Data & AI Solutions Architect

Databricks Inc.; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Databricks in London seeks an experienced Solutions Architect to shape the technical strategy for key customers, owning architecture discussions and driving platform adoption across data engineering, ML/AI and real-time analytics.

You will partner with senior customer leads, lead complex design reviews, and orchestrate cross-functional resources to deliver scalable, production-grade solutions on public clouds. Strong coding in Python/SQL and a deep data-stack background are essential.

Qualifications

• 6+ years in solutions architecture or senior hands-on technical roles
• Strong coding proficiency in Python and SQL with live coding ability
• Deep expertise in distributed data systems architecture and lakehouse patterns
• Proven record deploying production solutions on public clouds
• Able to translate architectures into business value for technical and executive audiences
• Bachelor’s or Master’s in CS/Engineering or equivalent experience

Responsibilities

• Own the end-to-end technical strategy for accounts from discovery through deployment
• Lead architecture discussions for scalable, production-grade solutions
• Serve as a trusted technical advisor to customer architects and engineering leads
• Drive platform adoption and consumption growth within accounts
• Coordinate cross-functional resources to deliver complex solutions
• Influence product direction with customer requirements and competitive gaps

Skills

Years of experience

Python

SQL

Distributed data systems

Public cloud deployment

Platform adoption

Executive communication

Architecture leadership

English proficiency

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Databricks Platform

AWS

Azure

GCP

Snowflake

Job description

Databricks in London seeks an experienced Solutions Architect to shape the technical strategy for key customers, owning architecture discussions and driving platform adoption across data engineering, ML/AI and real-time analytics.

You will partner with senior customer leads, lead complex design reviews, and orchestrate cross-functional resources to deliver scalable, production-grade solutions on public clouds. Strong coding in Python/SQL and a deep data-stack background are essential.