Data Platform Architect

Comply is looking for a Data Platform Architect to define the architecture and integration patterns that power the next generation of our enterprise data platform. You’ll shape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. This role has a hybrid in-office and remote work schedule, requiring a minimum 3 days/week in either our York or London office.

You’ll love this role if you enjoy solving complex architecture challenges, partnering closely with engineering and product teams, and creating reusable patterns that accelerate delivery. This is a hands-on architecture role where your decisions will influence how customers, internal teams, applications, and AI-powered consumers interact with the Comply Data Platform for years to come.

What you’ll do

• Design end-to-end platform solutions that connect data pipelines, data products, the security master, semantic models, lakehouse technologies, APIs, event-driven services, AI interfaces, and analytics platforms.

• Establish architectural standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls.

• Define scalable integration patterns for customers, partners, and enterprise systems across API, streaming, batch, and self-service access channels.

• Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences.

• Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals.

• Identify opportunities to consolidate capabilities, reduce duplication, and increase platform reuse across the organization.

• Guide architectural decisions with engineering teams while balancing scalability, governance, observability, security, and maintainability.

• Contribute to the long-term technology strategy with a focus on extensibility, modularity, composability, and AI readiness.

What success looks like in your first 90 days

• Assess the current Data Platform landscape and deliver a documented target-state architecture covering interoperability, integrations, and platform consumption patterns.
• Define and socialize core standards for APIs, event contracts, data exchange, versioning, and access management.
• Partner with key stakeholders to guide at least one strategic platform initiative through architecture review and implementation planning.

• 8+ years of experience in R&D Architecture.

• Proven success designing enterprise data platforms that drive adoption and business value.

• Deep understanding of APIs, event-driven architecture, and distributed systems.

• Experience integrating complex SaaS platforms into cohesive architectural solutions.

• Cloud-native architecture experience, ideally within AWS environments.

• Strong understanding of data products and modern data architecture patterns.

• Excellent stakeholder management and communication skills, with the ability to influence both technical and executive audiences.

Nice-to-have

• Lakehouse architectures.

• Semantic technologies or knowledge graphs.

• Event streaming platforms.

• MCP or AI integration frameworks.

• Enterprise integration patterns.

• Financial services or RegTech experience.

• Identity and access management.

• API management platforms.