Staff Enterprise Architect

Enterprise Architect — Business Domains & Systems Reporting to: SVP, Engineering (Architecture) Location: New York City, NY (hybrid; not remote) Level: Staff (IC) Role type: Individual contributor (no people management) Who We Are (2026) DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com. Role overview DoubleVerify is hiring a Staff Enterprise Architect to help shape how our business domains, systems, and data work together at enterprise scale. This is a hands-on individual contributor role for someone who can connect business strategy, operating models, data flows, and technical implementation. You will help define how core business domains should interoperate, where ownership should live, how systems should interface, and what sequence of changes will simplify operations, improve control, and accelerate delivery across both enterprise business platforms and proprietary internal systems. In the near to mid term, this role will likely spend significant time on priority journeys such as Quote-to-Cash (Q2C), adjacent revenue and billing workflows, and the interfaces between enterprise business systems and proprietary operational platforms, but the mandate is enterprise-wide. This is not a pure governance role and not a people-management role. Success comes through systems thinking, technical credibility, strong judgment, and the ability to align and influence stakeholders from senior leadership through individual teams. The ideal candidate has a strong operator instinct: someone who sees systems end to end, identifies where ownership and boundaries should sit, understands how data should move, and can turn an architectural vision into practical change. You should be comfortable moving between strategy and execution: facilitating alignment with senior stakeholders, producing clear architecture artifacts, and getting hands-on with code, integrations, prototypes, and technical validation when needed. What you’ll do Enterprise architecture vision • Define and communicate a clear target-state architecture for key enterprise business domains across process, data, applications, and integrations. • Translate business strategy into phased roadmaps, decision frameworks, and measurable outcomes such as cycle-time reduction, risk reduction, cost savings, and improved operational clarity. • Identify where the company should simplify, consolidate, standardize, automate, or establish clearer systems of record. Domain design and operating model • Lead domain discovery and alignment workshops to define bounded contexts, ownership, decision rights, and interfaces across business domains. • Help the organization establish rigorous domain ownership so teams take clear responsibility for their processes, data, controls, and change management. • Create practical models such as capability maps, domain maps, RACIs, and responsibility boundaries that leadership and teams can actually use. Interfaces, data flows, and technical architecture • Map end-to-end process and data flows, identify bottlenecks and ambiguity, and drive clarity around upstream/downstream responsibilities. • Define stable interface patterns and data contracts between systems and teams, with enough rigor that engineering teams can build against them. • Drive architectural decisions around systems of record, integration patterns, workflow automation, and domain boundaries. • Clarify which capabilities should live in third-party enterprise platforms versus proprietary internal systems, and define the interface, ownership, and control model between them. Hands-on technical validation • Build prototypes, reference implementations, lightweight tools, or code-based proofs of concept when needed to validate architecture decisions and accelerate execution. • Engage directly with APIs, integrations, data pipelines, automation platforms, and application architecture to de-risk key decisions. • Bring enough programming and technical depth to challenge assumptions, pressure-test designs, and help teams move from concept to implementation. Governance, influence, and execution • Run and shape the architecture decision-making process, including principles, design reviews, escalation paths, and follow-through on critical decisions. • Present and defend the architectural vision to senior management, while also working effectively with domain owners, product leaders, engineers, and operators. • Proactively identify blockers, risks, and cross-team dependencies, and drive them to resolution rather than letting work stall in ambiguity. • Raise the overall quality of decisions across the organization by coaching teams, improving standards, and introducing reusable patterns. AI / LLM enablement • Maintain a strong working understanding of the current state of AI/LLM systems and how they can be applied pragmatically in an enterprise environment. • Identify opportunities to use AI/LLM capabilities to improve business processes, internal tooling, automation, knowledge access, and engineering leverage. • Help teams adopt AI/LLM-enabled patterns responsibly, with attention to governance, evaluation, quality, security, reliability, latency, and cost. What success looks like First 90 days • Produce a crisp current-state view of one or more priority enterprise journeys, including domains, owners, systems, interfaces, risks, and unclear boundaries. • Establish an architecture working cadence with the right stakeholders and a clear path for making and documenting decisions. • Socialize an initial target-state view and phased action plan for a high-priority area. • Build working fluency in DoubleVerify's adtech/media context, commercial data models, and the language used by revenue, operations, and engineering teams. Within 6 months • Drive agreement on ownership and interface boundaries for key business domains. • Put in place practical architecture artifacts and standards that teams actively use, rather than documentation that sits on the shelf. • Demonstrate visible impact on at least one meaningful cross-functional initiative through clearer design, faster decision-making, or reduced operational complexity. Within 12 months • Help the organization operate with significantly better clarity around domain ownership, system boundaries, and enterprise workflows. • Reduce recurring ambiguity, rework, and cross-team friction in core business processes. • Establish the role as a trusted source of architectural direction, technical judgment, and execution support across business and engineering leadership. • What you bring • 10+ years of experience in enterprise architecture, principal architecture, business systems transformation, or a comparable role with cross-functional enterprise scope. • Proven ability to define a vision and translate it into execution, with measurable outcomes rather than only proposals or documentation. • Strong systems thinking across business processes, data architecture, application architecture, and integrations. • Hands-on technical depth, including the ability to write code, build prototypes, and work directly with APIs, automation, and data systems.