Solution Architect

Job not on LinkedIn

🔥 17 hours ago

🇬🇧 United Kingdom – Remote

💵 £80k - £110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 3%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Advancing Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Advancing Analytics is a Big Data and AI consultancy that helps organisations turn data into actionable insight. The company specializes in Microsoft Data & AI and Databricks technologies, advancing Lakehouse architecture and blending traditional analytics with machine learning and AI. They provide services across data engineering, analytics, strategy and systems implementation, operating as a remote-first, B2B consultancy staffed by certified experts.

📋 Description

• Own the technical win across the sales pipeline • Work with Sales, Senior Leadership, and Delivery Leads to turn opportunities into signed work • Qualify opportunities, shape solutions, build demos, and present them to clients • Guide clients from initial technical conversations to signed Statements of Work as the trusted Databricks expert • Design and document end-to-end data and AI solutions using Azure, Databricks, and related services • Translate business and technical requirements into architecture designs for delivery teams • Apply standards, patterns, and reference architectures • Identify technical risks, record them in project risk registers, and lead mitigation and resolution • Produce design artefacts and present them at architectural forums to engineering teams and senior executives • Shape intelligent data platform projects using Lakehouse architectures for reporting, AI, and analytics • Run discovery workshops with data, analytics, and platform teams • Capture requirements, current state, workloads, governance constraints, and target outcomes • Own technical content for RFP/RFI responses, proposals, architecture diagrams, and Statements of Work • Own technical scope, effort, and delivery risk for opportunities • Run technical pitches, demos, and handle technical and business-value questions • Collaborate with Databricks field teams on joint pursuits and co-selling • Build client relationships and act as a trusted technical advisor • Translate complex technical concepts into clear business outcomes • Hand won opportunities to delivery with complete designs, including scope, assumptions, risks, and estimates

🎯 Requirements

• Proven experience in technical pre-sales and designing cloud data architectures • Hands-on consulting experience with 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 • Commercial awareness and experience shaping Statements of Work, T-shirt-size estimates, total cost of ownership, and time-to-value assessments • Strong communication and presentation skills with technical and non-technical stakeholders up to C-level • Experience running demos, technical pitches, client workshops, and negotiations • Ability to influence technical and business stakeholders without relying solely on formal authority • Previous consulting experience is required • Databricks Professional certification is required, or equivalent knowledge demonstrated 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 • 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 • Databricks Champion Status Bonus • Professional development and learning opportunities • Support for community involvement, speaking, blogging, and advocacy initiatives

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