At a Glance
- Tasks: Design and implement cutting-edge data solutions in a secure environment.
- Company: Join a high-profile programme with a focus on data and analytics.
- Benefits: Competitive daily rate, flexible work schedule, and professional growth opportunities.
- Other info: Work in a dynamic team with excellent career advancement potential.
- Why this job: Make a real impact by delivering innovative data solutions in a regulated setting.
- Qualifications: Proven experience in data architecture and strong communication skills required.
The predicted salary is between 60000 - 75000 £ per year.
We are seeking an experienced Data Solutions Architect to join a high‑profile programme delivering complex data and analytics capabilities within a secure and regulated environment.
Key Responsibilities
- Design end-to-end data solutions that align with business, technical, security, and operational requirements
- Produce high-quality architecture artefacts including HLDs, LLDs, architecture decision records, and options assessments
- Define current-state, target-state, and transition architectures, including phased delivery roadmaps
- Ensure solutions are scalable, resilient, secure, and operationally supportable
- Provide architectural leadership throughout delivery, supporting technical teams during implementation
- Participate in design reviews, governance forums, and architectural assurance activities
- Work closely with engineering, security, and programme stakeholders to ensure architecture standards are met
- Support architecture documentation, knowledge transfer, and transition planning
Required Experience
- Proven experience in a Data Solutions Architect, Technical Architect, or similar architecture-focused role
- Strong background designing modern cloud-based data and analytics platforms
- Experience working within highly regulated, security-conscious, or complex enterprise environments
- Ability to translate functional and non-functional requirements into robust technical solutions
- Experience producing detailed architecture documentation for governance and assurance purposes
- Strong stakeholder management and communication skills
Technical Skills
- Cloud data platforms such as Azure Databricks, Microsoft Fabric, or similar
- Distributed data processing technologies, including Spark-based platforms
- Enterprise integration patterns including APIs, event-driven architectures, and service-based solutions
- Platform engineering, Infrastructure as Code (IaC), CI/CD, and DevOps practices
- Cloud landing zones, identity and access management, secure connectivity, and enterprise-scale architecture patterns
- Data architecture, application architecture, infrastructure architecture, and security architecture principles
Desirable Experience
- Experience operating within architecture governance frameworks and design authorities
- Architectural assurance and design review board participation
- Operational resilience and security-focused solution design
- Technology evaluation, options analysis, and vendor selection
- Supporting capability uplift and knowledge transfer within client teams
Contract Details
- 6-Month Initial Contract
- £652.20 per day
- Inside IR35
- London Based
- 3 Days Per Week Onsite
- Active SC Clearance Required
Data Solutions Architect (SC cleared) in London employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solutions Architect (SC cleared) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Nigel Frank before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data Solutions Architect (SC cleared) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Nigel Frank, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Nigel Frank, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Nigel Frank’s attention and show the tangible impact of your work.
How to prepare for a job interview at Nigel Frank
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Nigel Frank.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Nigel Frank.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Nigel Frank.
