Senior Solutions Architect, Data & AI for Media

Databricks Inc.; Greater London; On-site; GBP 110,000 - 150,000; Full time

Job summary

Databricks Inc. in the United Kingdom seeks a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads.

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of the customers’ data and AI strategy, developing a technical specialization and coordinating cross-functional resources.

Qualifications

• 6+ years in solutions architecture or related roles.
• Proficient in Python and SQL with live coding ability.
• Experience with production cloud deployments (AWS/Azure/GCP).
• Ability to translate complex architectures into business value.
• Bachelor's or Master's in CS/Engineering or related field.

Responsibilities

• Own the end-to-end technical strategy for accounts, from discovery through deployment and growth.
• Lead complex architecture discussions—design scalable, production-grade solutions.
• Serve as a trusted technical advisor to customer architects and engineering leads.
• Drive technical wins by demonstrating differentiation through custom solutions.
• Develop and declare an emerging technical specialization for the team.
• Orchestrate cross-functional resources to deliver comprehensive solutions.
• Influence product direction with feedback on customer requirements.

Skills

Solutions architecture experience

Python

SQL

Distributed data systems

Cloud deployments

Communication skills

Architecture leadership

Education

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

Tools

Databricks Platform

Job description

Databricks Inc. in the United Kingdom seeks a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads.

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of the customers’ data and AI strategy, developing a technical specialization and coordinating cross-functional resources.