Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Redesign data platforms and ensure seamless integration with modern systems.
- Company: Join a forward-thinking tech firm focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data architecture and make a significant impact.
- Qualifications: Experience in data platform design and multi-cloud environments required.
- Other info: Dynamic role with potential for career advancement in a collaborative setting.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Core Responsibilities
- Modernising an Existing Data Platform: Take ownership of redesigning a legacy analytical/data environment so it can interact cleanly with new microservice‑driven upstream systems and a large, frequently changing set of data models. Establish methods for unifying older historical datasets with redesigned structures in a way that protects current reporting and user experiences. Identify and recommend upgrade paths that allow the system to evolve without disrupting ongoing operations.
- Architecture for Data Ingestion, Processing & Integration: Define updated patterns for collecting, transforming, and storing data coming from distributed microservice ecosystems. Safeguard the reliability, lineage, and accuracy of downstream data consumers as schemas and interfaces evolve. Create migration and transitional approaches that allow features to be introduced gradually and with minimal delivery risk.
- Infrastructure, Access, Security & Connectivity: Shape the move from specialist UC devices and private network access to standardised DWP equipment using Zscaler‑based connectivity. Set out the required networking, security, and infrastructure controls that enable compliant, secure communication between workloads running in AWS and environments hosted within Azure. Ensure all movements of sensitive information across cloud boundaries follow strict principles of confidentiality, integrity, and controlled access.
- Technology Evolution & Alignment to Enterprise Standards: Review current technology selections and propose pathways that transition services toward tools and languages approved across the wider organisation. Produce architectural recommendations, structured options papers, and supporting decision artefacts. Promote a reduction of complexity, alignment with enterprise blueprints, and removal of accumulated technical debt.
Skills & Experience
- Essential: Demonstrated experience guiding architecture in complex, high‑risk brownfield environments. Strong background in data platform design: ingestion patterns, schema lifecycle management, ETL/ELT approaches, and integration with microservice ecosystems. Solid multi‑cloud architectural knowledge, specifically around secure data movement between AWS and Azure. Familiarity with regulatory, government, or similarly controlled operating environments. Experience acting as technical authority, including security governance and operational/SRE readiness. Background in maintaining high‑availability services throughout platform modernisation initiatives. Comprehensive knowledge of infrastructure, identity, networking, and security patterns (including Zscaler, VPC design, VPN, etc.). Ability to work within organisational standards and design frameworks. Hands‑on experience re‑engineering or standardising technology stacks. Strong communication and leadership qualities, especially in ambiguous or multi‑stakeholder environments. Proven ability to produce high‑quality technical documentation using enterprise‑standard tools.
- Desirable: Familiarity with event‑driven integrations and contract‑based microservice communication. Awareness of Kotlin and migration paths toward standard languages used in government (e.g., Java or Python). Understanding of business intelligence tools or emerging AI‑assisted analytics (not essential). Relevant certifications across AWS and/or Azure.
Data Architect employer: Computer Futures
Contact Detail:
Computer Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, or conferences related to data architecture. It's a great way to connect with potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data platform design and microservice integration. This will give you an edge when chatting with recruiters or during interviews.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role by researching the company’s tech stack and culture. When you apply through our website, make sure to highlight how your experience aligns with their specific needs.
✨Tip Number 4
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining complex concepts in simple terms, as communication is key in multi-stakeholder environments.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data platforms, microservices, and cloud environments like AWS and Azure. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Data Architect role. Share specific examples of your past work that relate to modernising data platforms and ensuring secure data movement.
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Make sure to detail your experience with ETL/ELT processes, schema management, and any relevant certifications. We love seeing candidates who can demonstrate their hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Computer Futures
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data platform design, especially around ingestion patterns and ETL/ELT approaches. Brush up on your knowledge of microservice ecosystems and how they integrate with data architectures, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've modernised legacy systems or improved data environments. Think about challenges you faced and how you overcame them, particularly in high-risk brownfield settings. This will demonstrate your hands-on experience and ability to navigate complex scenarios.
✨Familiarise Yourself with Multi-Cloud Environments
Since the role involves AWS and Azure, make sure you understand secure data movement between these platforms. Be ready to talk about your experience with cloud architecture and any relevant certifications you hold. This shows you’re not just familiar with the tools but can also apply them effectively.
✨Communicate Clearly and Confidently
Strong communication is key, especially in multi-stakeholder environments. Practice explaining technical concepts in a way that’s easy to understand. Prepare to discuss how you’ve produced high-quality documentation and architectural recommendations in the past, as this will highlight your leadership qualities.