Pre-sales Solution Architect
New
A
Advancing AnalyticsData and AI
Remote – must be based within the UK.Full-Time
Salary£80,000 - £110,000 (depending on experience)
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Job Details
- Required Skills
- AzureData engineeringDatabricks
Requirements
- Have proven experience in technical pre-sales and designing cloud data architectures.
- Have hands-on consulting experience with Azure and Databricks.
- Have previous consulting experience working across multiple businesses.
- Hold a Databricks Professional certification or demonstrate equivalent knowledge through real project experience.
- Have working knowledge of data engineering, ML/AI engineering, data governance, and platform design.
- Have experience designing and presenting scalable, secure, and cost-effective solutions using established patterns and standards.
- Have a track record of running discovery, demos, POCs, and RFP responses for complex data and AI deals.
- Be comfortable shaping Statements of Work, T-shirt-size estimates, and linking technical choices to business value, total cost of ownership, and time to value.
- Be able to run client workshops, technical pitches, demos, and negotiations and influence technical and business stakeholders.
- Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert, are a strong plus.
Responsibilities
- Design and document end-to-end data and AI solutions using Azure, Databricks, and related services.
- Translate business and technical requirements into architecture designs delivery teams can build.
- Identify technical risks, record them on the project risk register, and oversee mitigation and resolution.
- Qualify opportunities and run discovery workshops to capture requirements, current state, workloads, governance constraints, and target outcomes.
- Own technical content for RFP and RFI responses, proposals, architecture diagrams, and Statements of Work.
- Assess opportunity scope, effort, and delivery risk, and shape scalable, supportable, cost-effective solutions.
- Run technical pitches and demos, answering technical and business-value questions.
- Build client relationships and explain technical concepts and business outcomes to stakeholders.
- Hand won opportunities to delivery with a complete design, including scope, assumptions, risks, and estimates.
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