Senior Solutions Architect - Media, AI & Data Platforms

Databricks; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Databricks in London, UK seeks a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will align data/AI initiatives with business goals and act as a trusted advisor to customer technical leads.

Lead production-grade, scalable architectures across data engineering, ML/AI, and real-time analytics, while collaborating with cross-functional teams to deliver impactful solutions.

Qualifications

• 6+ years in solutions architecture or similar role
• Proficient in Python and SQL with live coding and debugging
• Experience designing scalable, production-grade data/ML architectures
• Experience deploying on public clouds (AWS, Azure, GCP)
• Translate architectures to 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 to deployment and growth
• Lead complex architecture discussions for data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects and engineering leads
• Drive technical wins by demonstrating Databricks differentiation through custom-built solutions
• Develop and declare an emerging technical specialization within the team
• Coordinate cross-functional resources to deliver comprehensive solutions for complex needs
• Influence product direction by providing feedback on requirements and gaps

Skills

Python

SQL

Architectural design

Data pipelines

Cloud deployment

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Databricks Platform

AWS/Azure/GCP

Job description

Databricks in London, UK seeks a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will align data/AI initiatives with business goals and act as a trusted advisor to customer technical leads.

Lead production-grade, scalable architectures across data engineering, ML/AI, and real-time analytics, while collaborating with cross-functional teams to deliver impactful solutions.