Data Architect

Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to understand how data moves across complex technology landscapes and design robust, scalable architectures that connect systems, platforms, and data sources effectively.

This is a hands-on architecture role for someone who understands data end to end – from source and ingestion through integration, transformation, storage, governance, and consumption. You’ll collaborate with technology, data, business, and engineering teams to turn complex requirements into practical data architectures that support both immediate delivery and long-term strategic goals.

• →Design end-to-end data architectures covering data sources, flows, integration patterns, storage, transformation, and consumption.
• →Map and assess complex data landscapes, identifying dependencies, integration points, data movement, and opportunities for improvement.
• →Define scalable data integration approaches across platforms, applications, APIs, databases, cloud services, and third-party data sources.
• →Partner with engineering, architecture, business, and data teams to translate requirements into clear and practical architecture designs.
• →Provide architectural guidance throughout delivery, ensuring solutions remain aligned with data standards, governance, security, quality, and broader technology strategy.

• Strong experience as a Data Architect or in a senior data architecture role within complex enterprise environments.
• Deep understanding of data flows, data integration, data modelling, data sources, data platforms, and the full data lifecycle.
• Experience designing architectures that bring together multiple systems, applications, databases, APIs, and internal and external data sources.
• Strong understanding of modern data architecture principles, including cloud-based data platforms, data governance, data quality, security, and integration patterns.
• Ability to communicate complex data concepts clearly and work effectively with technical specialists, business stakeholders, and senior client teams.

• Experience delivering data architecture within financial services, banking, capital markets, insurance, or other regulated environments.
• Knowledge of modern cloud data platforms, data lakes, lakehouses, warehouses, streaming technologies, and event-driven architectures.
• Experience with data lineage, metadata management, master data management, and enterprise data governance.
• Experience supporting large-scale data modernization, migration, integration, or transformation programmes.

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.