At a Glance
- Tasks: Design and evolve enterprise data architecture for AI and advanced analytics.
- Company: Leading data analytics client in London with a focus on innovation.
- Benefits: Competitive daily rate, flexible work environment, and opportunity to shape the future of data.
- Other info: 12-month contract with potential for growth and diverse workplace culture.
- Why this job: Join a dynamic team and drive AI-driven innovation in a pivotal role.
- Qualifications: Experience in data architecture, AI literacy, and strong collaboration skills.
The predicted salary is between 72000 - 88000 £ per year.
Location: London - 2 days per week in the office
Salary/Rate: £732 per day inside IR35
Start Date: 05/10/2026
Job Type: Contract - 12 months
Company Introduction: We have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled AI Data Architect to join their team for a twelve-month contract.
Job Responsibilities/Objectives:
- You will be designing and evolving our enterprise data architecture, with a strong emphasis on enabling AI and advanced analytics.
- This role is pivotal in enabling seamless data interoperability to support AI-driven innovation across the organisation.
- You will collaborate with key stakeholders to ensure our data ecosystem is optimized for both operational efficiency and AI readiness.
Responsibilities:
- Lead data modernisation initiatives across our foundational data estate, collaborating closely with delivery teams to drive and guide transformation.
- Align Product, Data and Technology predictive and real-time data capabilities; designing architectures that support real-time ingestion and processing, predictive modelling and analytics.
- Partner with data science and engineering teams to ensure models can be operationalised at scale.
- Embed privacy by design principles, ensuring compliance with data privacy regulations and ethical AI standards.
- Document and communicate data architecture, lineage, and metadata to promote transparency and facilitate reuse.
- Engage in domain learning by asking insightful questions and obtaining meaningful answers.
Required Skills/Experience:
- Enterprise thinker – See data as a connected system across the business, designing for integration, reuse, and a single coherent view.
- Commercially grounded – Align architectural decisions to clear business outcomes, ensuring data investments support revenue, customer value, and operational performance.
- Pragmatic architect – Balance long-term standards with near-term delivery, applying structure and governance without slowing down execution.
- Influential leader – Build alignment across product, data, and engineering through credibility and clarity, driving decisions without relying on hierarchy.
- Future-oriented – Anticipate how data architecture must evolve to support AI, knowledge graphs, and ecosystem integration, designing for scale and adaptability.
- Highly AI literate - Strong understanding of LLMs and modern AI practices, ensuring data architecture supports scalable model deployment.
Disclaimer: Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Data Architect employer: Square One Resources
Join a forward-thinking organisation that values innovation and collaboration, where your role as an Organisational Transformation Lead will be pivotal in driving meaningful change. With a focus on employee growth and a culture that encourages continuous improvement, you'll have the opportunity to shape strategic partnerships and enhance operational effectiveness. Located in a dynamic environment, this role offers competitive compensation and the chance to make a significant impact on business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨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 Square One Resources before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Square One Resources.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Square One Resources.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Square One Resources, 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 Square One Resources, 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 Square One Resources’s attention and show the tangible impact of your work.
How to prepare for a job interview at Square One Resources
✨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 Square One Resources.
✨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 Square One Resources.
✨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 Square One Resources.
