At a Glance
- Tasks: Design and evolve data architecture for innovative AI products in a fast-paced environment.
- Company: Join Brunswick, a global advisory firm with a culture of inclusivity and excellence.
- Benefits: Enjoy competitive pay, health perks, and opportunities for continuous professional development.
- Other info: Dynamic role with excellent career growth and a chance to make a real impact.
- Why this job: Shape the future of AI while working with cutting-edge technologies and talented teams.
- Qualifications: 6+ years in data architecture or related fields; strong technical and collaboration skills.
The predicted salary is between 72000 - 88000 £ per year.
Opportunity
Brunswick is accelerating its use of AI to strengthen the advice we give clients and how we operate.
We are looking for a Data Architect to join our AI Lab and shape the technical and data foundations that enable us to build and scale proprietary AI products securely and effectively.
This is a hands‑on, influential role spanning architecture and practical delivery.
You will take a portfolio‑wide view of how data, applications, models, APIs and shared components fit together, creating reusable patterns and capabilities that help engineers move faster while maintaining high standards of security, resilience and maintainability.
Working closely with AI Engineers, Infrastructure, Security, Data and other technology teams, you will ensure the Lab has the architecture and underlying platform it needs to innovate at pace while aligning with Brunswick’s wider technology environment.
About the Role
Your day-to-day responsibilities will include
- Design and evolve the data and technical architecture underpinning the AI Lab’s portfolio of proprietary products.
- Define scalable patterns for how applications, data sources, models, APIs and enterprise systems connect and interact.
- Design approaches to data modelling, access, storage, movement and governance, particularly for sensitive or business‑critical information.
- Identify opportunities to create reusable services, components and data capabilities that accelerate development across multiple products.
- Establish standards and patterns for data pipelines, APIs, integration, environments, deployment and observability.
- Work closely with engineers to translate architectural principles into practical solutions, balancing scalability with rapid prototyping and delivery.
- Partner with Infrastructure, Security, Data and other technology teams to ensure solutions meet Brunswick’s security, privacy, governance and architectural standards.
- Identify opportunities to simplify the data landscape, reduce duplication and improve interoperability across the firm.
- Evaluate emerging technologies and architectural approaches that could strengthen the Lab’s platform or unlock new capabilities.
- Help build the scalable data foundations Brunswick needs to develop and deploy AI responsibly, securely and effectively.
- What We’re Looking For
You will combine strong data and solution architecture skills with a practical engineering mindset and the ability to operate in a fast‑moving product environment.
You will be comfortable moving between strategic architecture and detailed technical decisions, making pragmatic trade‑offs between long‑term scalability and speed of delivery.
The successful candidate will bring
- 6+ years of relevant experience in data architecture, solution architecture, data engineering, software engineering or a related technical role.
- Strong experience designing scalable data and application architectures, ideally in cloud environments.
- Experience designing data models, APIs, integrations and data flows across databases, Saa S applications and enterprise systems.
- Strong knowledge of modern data architecture, including data modelling, ETL/ELT pipelines, storage, access patterns, data warehouses, lakes/lakehouses and governance.
- Experience with cloud platforms; Microsoft Azure experience is particularly relevant.
- Good working knowledge of SQL and modern data engineering approaches, including Python.
- Experience designing reusable technical components, shared services or platforms used across multiple products or teams.
- A strong understanding of data governance, security, privacy, lineage and quality, and how these are embedded into architecture and delivery.
- An understanding of the data requirements of AI and machine‑learning applications, including securely making structured and unstructured enterprise data available to AI solutions.
- A good understanding of modern software engineering and SDLC practices, including CI/CD, version control, testing and observability.
- Sufficient hands‑on technical depth to work credibly with engineers, review designs and contribute to implementation where useful.
- Strong judgement and pragmatism, with the ability to balance consistency and reuse with experimentation and speed.
- Excellent communication and collaboration skills, with the ability to explain architectural decisions and trade‑offs to technical and non‑technical colleagues.
Desirable experience
- Architecting applications or platforms incorporating generative AI, large language models or machine learning.
- Designing data and integration architectures for AI applications, including retrieval and grounding approaches.
- Building internal developer platforms, shared services or reusable application frameworks.
- Working with sensitive enterprise data and complex security or governance requirements.
- Experience in professional services, financial services, advisory or another complex enterprise environment.
- Why Join Us
Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of employee benefits to support your financial future, health and wellness, family and community and continuous professional development.
About Brunswick
Brunswick is a global advisory firm. We help companies tackle high‑stakes issues, navigate complex stakeholder relationships, and deliver high‑impact outcomes.
Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond.
They rely on us for deep experience, fresh perspectives and original thinking.
So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds.
From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity.
Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia.
We operate as a “one-firm firm” with no individual profit centers.
This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world.
Brunswick is an equal opportunity employer.
All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law.
Pleaseread our Global Privacy Notice to understand how your data is managed.
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Data Architect employer: Brunswickgroup
Brunswick Group is an exceptional employer, offering a dynamic work environment in the heart of London where creativity and strategic thinking thrive. With a strong emphasis on professional development, employees are encouraged to grow their skills through diverse projects and collaboration with industry leaders. The company's commitment to fostering a supportive culture ensures that every team member feels valued and empowered to make a meaningful impact in the world of investor communications.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
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We think you need these skills to ace Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Brunswickgroup, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Brunswickgroup. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Brunswickgroup
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Brunswickgroup!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.