Data Platform Architect

Comply; Arlington (VA); On-site; USD 115,000 - 136,000; Full time

Job summary

Comply seeks a Data Platform Architect to define architecture and integration patterns powering our enterprise data platform. You’ll shape data products, APIs, event streams, semantic models, analytics capabilities, and AI‑native interfaces for secure, scalable, and reusable solutions across the business.

You’ll influence customers and internal teams by building reusable patterns, engaging with engineering and product partners, and driving architectural decisions for long‑term platform success.

Qualifications

• 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.

Responsibilities

• Design end‑to‑end platform solutions that connect data pipelines, data products, the security master, semantic models, lakehouse technologies, APIs, event‑driven services, 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.

Skills

R&D Architecture

Enterprise data platforms

APIs

Event-driven architecture

Distributed systems

AWS / Cloud

Data products

Stakeholder management

Job description

About this position

Who Are We:

Comply is the leading provider of compliance SaaS and consulting services for the global financial services sector. With more than 5,000 clients and hundreds of employees across the globe, Comply empowers Chief Compliance Officers and their teams to proactively manage regulatory obligations, mitigate risk, and scale with efficiency and confidence.

Comply serves thousands of global financial services clients including broker-dealers, insurers, investment banks, private funds, RIAs, and wealth managers who rely on Comply offerings to power their compliance programs.
To learn more about Comply, visit comply.com

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. 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.

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.

What you'll bring

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.
• Financial services or RegTech experience.
• Identity and access management.

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. It takes into account a wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets, training, licensure and certification, and experience.

Comply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

Applicants must be authorized to work for any employer in the United States. Currently, we are unable to sponsor or take over sponsorship of an employment Visa at this time.

Comply is aware of scammers posing as Comply employees and extending job offers via direct messaging, texts and social media platforms. These are fraudulent and should be treated as such. To learn more about this, please review our Statement of Fraudulent Job Offers.

The pay range for this role is:
115,000 - 136,000 USD per year(Arlington, VA)
115,000 - 136,000 USD per year(New York, NY)

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