Data Architect

Responsibilities

We are representing a confidential advisory firm seeking a Data Architect to join their AI-focused technology team in London. In this hands-on, influential role, you will shape the technical and data foundations that enable the organization to build and scale proprietary AI products securely and effectively.

Your day-to-day responsibilities will include:

• Design and evolve the data and technical architecture underpinning a portfolio of proprietary AI 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 security, privacy, governance and architectural standards
• Identify opportunities to simplify the data landscape, reduce duplication and improve interoperability
• Evaluate emerging technologies and architectural approaches that could strengthen the platform or unlock new capabilities
• Help build the scalable data foundations needed to develop and deploy AI responsibly, securely and effectively

What We're Looking For

Our client seeks a candidate who combines 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.

Essential requirements:

• 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

How We Work With You

When you apply through Get A Job.ai, our talent team will review your application and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. Please note that you should not contact the client directly during this process—we will manage all communications and coordinate next steps on your behalf.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of background, identity or circumstance.