Data Platform Architect

Overview In this role you design and steer the enterprise data platform for Comply, shaping data products, APIs, event streams, and AI interfaces to deliver secure, scalable solutions. You will work closely with engineering, product, and customer teams to ensure reusable patterns and long-term platform extensibility. The role blends hands-on architecture with strategic influence across data pipelines, lakehouse technologies, security, and analytics. This is a chance to shape how data and AI-powered experiences interact with the platform at scale. Compensation / Benefitsbase salary range and bonus provisionscompetitive compensation and benefitsbonus/benefit offerings similar to peersequal opportunity employerwide range of employee perks referenced in posting ResponsibilitiesDesign end-to-end platform solutions linking data pipelines, data products, security master, semantic models, lakehouse tech, APIs, event-driven services, AI interfaces, and analytics platformsSet architectural standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controlsDefine scalable integration patterns for customers, partners, and enterprise systems across API, streaming, batch, and self-service channelsCreate consistent interfaces for human users, analytics tools, applications, and AI agentsCollaborate with Product, Technology, and Customer teams to align initiatives with platform goalsIdentify opportunities to consolidate capabilities, reduce duplication, and increase reuseGuide architectural decisions with focus on scalability, governance, observability, security, and maintainabilityContribute to long-term technology strategy emphasizing extensibility, modularity, composability, and AI readiness Key requirements8+ years of experience in R&D ArchitectureProven success designing enterprise data platforms that drive adoption and business valueDeep understanding of APIs, event-driven architecture, and distributed systemsExperience integrating complex SaaS platforms into cohesive architectural solutionsCloud-native architecture experience, ideally AWSStrong understanding of data products and modern data architecture patternsExcellent stakeholder management and communication skills with ability to influence both technical and executive audiencesstakeholder managementclear communicationinfluence across teamsAPIsevent-driven architecturedistributed systems