Pre-sale Solution Architect
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Job Description
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.
Responsibilities:
- 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:
- 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:
- 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
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