Pre-sale Solution Architect

Advancing Analytics

Pre-Sales Solution Architect designing data and AI solutions for clients at Advancing Analytics. Managing client relationships and guiding technical architecture as part of a consultancy team.

Posted 7/4/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSenior💰 £80,000 - £110,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Design and document end-to-end data and AI solutions using Azure, Databricks, and related services.
Translate business and technical requirements into clear architecture designs that delivery teams can build.
Identify technical risks early, own them on the project risk register and be accountable for their mitigation and resolution.
Shape and guide the design of intelligent data platform projects using Lakehouse architectures, making data available for reporting, AI, and analytics.
Get involved early in client conversations to qualify opportunities and recommend the right approach.
Capture requirements, current state, workloads, governance constraints, and target outcomes.
Own the technical content of RFP and RFI responses, proposals, architecture diagrams, and Statements of Work.
Build strong relationships with clients and become a trusted technical advisor.
Take complex technical concepts and translate them into plain language and clear business outcomes for senior business leaders, technology leads, and internal sales teams.

Requirements

What you’ll need

Proven experience in technical pre-sales, designing cloud data architectures, with hands-on consulting on Azure and Databricks.
Working knowledge of data engineering, ML/AI engineering, data governance, and platform design.
Experience designing and presenting scalable, secure, and cost-effective solutions using established patterns and standards.
Track record running discovery, demos, POCs, and RFP responses for complex data and AI deals.
Strong commercial awareness, comfortable shaping Statements of Work, T-shirt-size estimates, and linking technical choices to business value, total cost of ownership, and time to value.
Strong communication and presentation skills with technical and non-technical people at all levels, up to C-level.
Confident running demos, technical pitches, client workshops, and negotiations.
Previous consulting experience is required, you understand the difference between working for one business and working across many.
Databricks Professional certification is required, or able to demonstrate equivalent knowledge through real project experience.
Azure certifications (such as Azure Data Engineer Associate or Azure Solutions Architect Expert) are a strong plus.

Benefits

Comp & perks

Industry matching Maternity & Paternity policy
Private Medical & Dental Care plus Eye care scheme
Health & Well-being fund
25 Days Annual Leave, Birthday Leave & Charity Leave
Away days with the team
Flexible Working Hours
Electric Car Scheme

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data GovernanceML/AI EngineeringPlatform DesignScalable Solution DesignCost-Effective Solutions

Soft Skills

Strong Communication SkillsPresentation SkillsClient Relationship BuildingNegotiation Skills

Certifications

Databricks Professional CertificationAzure Data Engineer AssociateAzure Solutions Architect Expert