Impjieg
Mill-feed tas-sieħeb
Data Architect
Prezz fuq talba
Dettalji
- Tip ta' impjieg
- Full-time
- Remot
- Le
- Kumpanija
- Brunswickgroup
- Location raw
- London
Deskrizzjoni
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.…
Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/brunswickgroup/data-architect-london-38317)
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.…
Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/brunswickgroup/data-architect-london-38317)
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