Data Architect

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Brunswick is seeking 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 hands-on, influential role spans architecture and practical delivery. You will design scalable data and application architectures, define patterns for data, APIs and integrations, and collaborate with AI Engineers, Security and Infrastructure to align with Brunswick’s standards and accelerate delivery.

Qualifications

• 6+ years of experience in data architecture, solution architecture, or related roles.
• Design scalable data and application architectures, preferably in cloud environments.
• Experience designing data models, APIs, integrations and data flows across systems.
• Strong knowledge of data governance, security, privacy and quality.
• Hands-on depth to work credibly with engineers.

Responsibilities

• Design and evolve data and technical architecture for the AI Lab.
• Define scalable patterns for data, models, APIs and enterprise systems.
• Establish standards for data pipelines, deployment and observability.
• Collaborate with engineers to translate principles into practical solutions.
• Partner with security, data and infrastructure teams to meet standards.
• Identify opportunities to simplify data landscape and improve interoperability.
• Evaluate emerging technologies to strengthen the Lab’s platform.

Skills

Data architecture

Solution architecture

Cloud environments

SQL

Python

CI/CD

Security & governance

Communication

Tools

Microsoft Azure

Job description

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, SaaS 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 grew 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.*