Solution Architect

Role overview Lead the technical solution for prospective client engagements, combining architecture design with pre-sales work. You will discover client needs, shape data and AI proposals, demonstrate solutions, and guide opportunities toward a clear delivery scope.

Responsibilities - Design end-to-end data and AI solutions using Azure, Databricks, and related services, applying established standards and reference patterns. - Translate business and technical needs into architecture designs that delivery teams can implement. - Shape Lakehouse data platforms that support reporting, analytics, and AI use cases. - Identify technical risks early, record them, and take responsibility for mitigation and resolution. - Run discovery workshops to understand current systems, workloads, governance constraints, and desired outcomes. - Lead technical contributions to proposals, RFP and RFI responses, architecture diagrams, and Statements of Work; present designs to audiences from engineers to executives.

Requirements - The available source does not include a complete qualifications section, so specific required years of experience or certifications cannot be stated. - The role calls for the ability to design data and AI architectures and turn requirements into practical delivery plans. - It also requires client-facing discovery and presentation skills, plus the judgment to assess scope, effort, cost, and delivery risk.

Benefits and work setup - Remote within the UK, with occasional visits to customers and the team. - Salary range: £80,000–£110,000, depending on experience.