Data Platform Architect

About the role

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.

Responsibilities

• 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.
• Create 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.
• Prioritize and guide at least one strategic platform initiative through architecture review and implementation planning.

Requirements

• Must-have: 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.

Pay

The all-in total compensation for this role is $126,500 and $149,600, and is specific to the United States. A reasonable estimate of the base salary range would be $115,000 - $136,000 plus applicable bonus/benefit offerings, etc., as those similarly situated within the Company.