Solution Architect

atAdvancing AnalyticsRemoteGB flagUnited KingdomFull-timeSolutions EngineerMid-levelSenior£80k – £110k/year

Posted Oct 30

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of the technical victory throughout the sales pipeline.

• Collaborate with Sales, Senior Leadership, and Delivery Leads to convert opportunities into confirmed projects.

• Assess opportunities, develop solutions, create demonstrations, and present them to clients.

• Steer clients from initial technical discussions to finalized Statements of Work as the reliable Databricks authority.

• Design and document comprehensive data and AI solutions utilizing Azure, Databricks, and associated services.

• Transform business and technical requirements into architectural designs for delivery teams.

• Implement standards, patterns, and reference architectures.

• Identify technical risks, log them in project risk registers, and oversee mitigation and resolution efforts.

• Generate design artifacts and present them at architectural forums to engineering teams and senior management.

• Shape intelligent data platform initiatives employing Lakehouse architectures for reporting, AI, and analytics.

• Conduct discovery workshops with data, analytics, and platform teams.

• Gather requirements, assess current states, workloads, governance constraints, and desired outcomes.

• Manage technical content for RFP/RFI submissions, proposals, architecture diagrams, and Statements of Work.

• Oversee technical scope, effort, and delivery risks associated with opportunities.

• Conduct technical presentations, demonstrations, and address technical and business-value inquiries.

• Partner with Databricks field teams on collaborative efforts and co-selling initiatives.

• Cultivate client relationships and serve as a trusted technical advisor.

• Simplify complex technical ideas into understandable business outcomes.

• Transfer secured opportunities to delivery with comprehensive designs, including scope, assumptions, risks, and estimates.


⛳️ Requirements

• Demonstrated experience in technical pre-sales and designing cloud data architectures.

• Hands-on consulting experience with Azure and Databricks.

• Familiarity with data engineering, ML/AI engineering, data governance, and platform design.

• Proven experience in designing and presenting scalable, secure, and cost-effective solutions using established patterns and standards.

• History of conducting discovery sessions, demos, POCs, and RFP responses for complex data and AI projects.

• Commercial awareness and experience in creating Statements of Work, T-shirt-size estimates, total cost of ownership, and time-to-value evaluations.

• Excellent communication and presentation skills with both technical and non-technical stakeholders, including C-level executives.

• Experience in running demos, technical presentations, client workshops, and negotiations.

• Capability to influence technical and business stakeholders without relying solely on formal authority.

• Prior consulting experience is essential.

• Databricks Professional certification is required, or equivalent knowledge exhibited through practical project experience.

• Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert are highly desirable.


🏝️ Benefits

• Industry-matching salary.

• Maternity and paternity leave policy.

• Private medical and dental coverage.

• Eye care program.

• Health and well-being fund.

• 25 days of annual leave.

• Additional birthday leave.

• Charity leave.

• Team away days.

• Flexible working hours.

• Electric car scheme.

• Databricks Champion Status Bonus.

• Opportunities for professional development and learning.

• Support for community involvement, public speaking, blogging, and advocacy initiatives.

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