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Data Solution Architect
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Practicals
Role type: Permanent, full-time
Location: Remote-first, with a London office available for those who want it. Client visits two to four times a month, primarily London-based.
Salary: £90,000 - £120,000 depending on experience
Benefits: Flexible holiday policy, flexible working hours, working abroad opportunities, pension, private medical insurance, life assurance
Overview
A growing data and technology consultancy is looking for a Data Solution Architect to join their established Data Architecture practice. The role is remote-first, with a London office available and light but regular client presence, and carries a salary of £90,000 - £120,000.
This hire sits at the heart of the business's data practice, which has been built deliberately over the past 18 months. The person coming in will work directly with clients across varied sectors, helping them design and implement cloud-native data and AI platforms that actually get built and used. The role demands someone who genuinely operates at the intersection of solution architecture and data and AI: not a strong architect who is light on data, and not a strong data engineer who has not yet stepped up to architecture level. The clients are real, the problems are complex, and the expectation is that you will think end-to-end without being led there.
Key Responsibilities
- Design and implement cloud-native data and AI platforms for clients across diverse sectors
- Work with technical delivery teams to clarify and refine architecture, maintaining consistency throughout delivery
- Help clients articulate their requirements and translate them into a well-reasoned solution architecture
- Describe and communicate the structure and behaviour of applications, including how they interact with each other and with business users
- Apply strong data modelling skills to make data work at scale
- Advise on data governance, including regulatory considerations such as GDPR, as a natural part of solution design
- Apply knowledge of microservices, serverless architectures, and both on-premise and cloud hosting models
- Work across open source, open standards, and cloud technologies
- Apply both traditional and agile delivery methods depending on client context
- Explain complex technical solutions clearly to non-technical stakeholders
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Requirements
Must-haves:
- Proven experience designing and building data platforms at a solution architecture level, not just engineering or delivery
- The ability to hold a full solution design in your head: surfacing API design, governance, data quality, matching logic, and regulatory requirements unprompted
- Strong data modelling skills and experience making data work at scale
- Solid understanding of microservices and serverless architectures
- Knowledge of cloud technologies, open source tools, and open standards
- Demonstrable experience working in both traditional and agile delivery environments
- Confident communicating complex technical solutions to non-technical audiences
- Comfortable building relationships with client stakeholders and working independently with limited ramp-up time
Nice-to-haves:
- Experience working in a consultancy or client-facing environment across multiple sectors
- Familiarity with modern data governance frameworks and practices
- Exposure to AI platform design alongside data architecture
What Success Looks Like
- Stepping into client engagements quickly and earning the trust of stakeholders without needing significant hand-holding
- Producing architecture that the delivery team can build correctly, with minimal rework or ambiguity downstream
- Proactively identifying the non-obvious constraints in a problem, whether that is API design, GDPR implications, or data matching complexity, before being asked
- Building strong working relationships across both client teams and internal delivery colleagues
- Being seen as a credible, reliable voice in the Data Architecture practice within the first year
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Team and Culture
- The Data Architecture practice is 18 months old and growing, so there is real scope to shape how it develops
- The working model is genuinely flexible: remote-first, with a London office for those who want it and client visits that keep you connected without tying you to a desk
- The benefits package reflects the same flexibility, with flexible holiday, flexible hours, and the option to work abroad
- The interview process is straightforward: two stages, each an hour, with a scenario-based exercise at stage one that reflects the kind of thinking the role actually requires
Challenges
- The client base spans diverse sectors, so you will need to get up to speed on new contexts quickly and apply your architecture thinking without a long settling-in period
- Consultancy pace is real: engagements move fast, and clients expect confidence and clarity from the outset
- The role requires genuine breadth. Candidates who are strong on one side of the architecture-and-data divide but weaker on the other will struggle here
- You will often need to surface complexity that the client has not yet seen themselves, which requires both technical depth and the confidence to lead a conversation rather than follow it
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