Data Platform Architect

Comply•Arlington, VA

74d•$115,000 - $136,000•Hybrid

About The Position

Comply is seeking a Data Platform Architect to define the architecture and integration patterns for its enterprise data platform. The role shapes how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, reusable solutions across the business. It is a hands-on architecture role, partnering with engineering and product teams to address complex architecture challenges and establish patterns that influence how customers, internal teams, applications, and AI-powered consumers interact with the platform. The position follows a hybrid in-office and remote schedule, with at least three days per week in either the Arlington, Virginia, or New York, New York, office. In the first 90 days, the architect is expected to assess the current data platform and document a target-state architecture; define and socialize core interoperability standards; and guide at least one strategic platform initiative through architecture review and implementation planning. Applicants must be authorized to work for any employer in the United States. Comply is currently unable to sponsor or take over sponsorship of an employment visa. The posting also describes Comply as an Equal Opportunity Employer.

Requirements

At least 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 technical and executive audiences.
Must be authorized to work for any employer in the United States; visa sponsorship or takeover is not currently available.

Nice To Haves

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.

Responsibilities

Design end-to-end platform solutions connecting data pipelines, data products, the security master, semantic models, lakehouse technologies, APIs, event-driven services, AI interfaces, and analytics platforms.
Establish interoperability standards for 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 for human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences.
Partner with Product, Technology, and Customer teams to align new initiatives with platform architecture and long-term strategic goals.
Identify opportunities to consolidate capabilities, reduce duplication, and increase platform reuse.
Guide architectural decisions with engineering teams while balancing scalability, governance, observability, security, and maintainability.
Contribute to long-term technology strategy focused on extensibility, modularity, composability, and AI readiness.
Assess the current Data Platform landscape and deliver a documented target-state architecture covering interoperability, integrations, and platform consumption patterns during the first 90 days.
Define and socialize core standards for APIs, event contracts, data exchange, versioning, and access management during the first 90 days.
Partner with key stakeholders to guide at least one strategic platform initiative through architecture review and implementation planning during the first 90 days.