Senior Solutions Architect — Data & AI (Presales)

databricks; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Databricks in London is seeking a seasoned Solutions Architect to lead the technical strategy for enterprise customers, owning architecture discussions and driving platform adoption. You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customer data and AI initiatives.

You will develop a technical specialization, mentor peers, and orchestrate cross-functional teams to deliver scalable, production-grade solutions spanning data engineering,

Qualifications

• 6+ years in solutions architecture, data engineering, or senior technical roles.
• Strong coding proficiency in Python and SQL with live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems architecture, pipelines, streaming, lakehouse patterns, and cloud-native platforms.

Responsibilities

• Own the end-to-end technical strategy for your accounts from discovery to deployment and growth.
• Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects and Directors.
• Drive technical wins by demonstrating Databricks differentiation through custom solutions.
• Develop an emerging technical specialisation and act as a go-to resource for your team.

Skills

Python

SQL

Distributed data systems

Live coding

Executive communication

Education

Bachelor's or Master's in CS/Engineering/quantitative field

Tools

Databricks Platform

AWS

Azure

GCP

Job description

Databricks in London is seeking a seasoned Solutions Architect to lead the technical strategy for enterprise customers, owning architecture discussions and driving platform adoption. You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customer data and AI initiatives.

You will develop a technical specialization, mentor peers, and orchestrate cross-functional teams to deliver scalable, production-grade solutions spanning data engineering,