Staff Enterprise Architect

Accountabilities:

• Map current-state business processes and capabilities across systems, identifying friction, manual handoffs, duplicated work, and opportunities for AI-enabled improvements.
• Architect end-to-end processes spanning areas such as product introduction, CPQ, quote-to-cash, billing, revenue recognition, renewals, record-to-report, customer service, case management, entitlements, and service commitments.
• Redesign workflows before automating them, determining which activities should be handled by AI agents, deterministic automation, or people.
• Serve as an embedded architect for Applications engineering teams, creating high-level designs and architectural patterns for core CRM, ERP, billing, customer service, and integration platforms.
• Favor maintainable, supported configuration and extension approaches over unnecessary customization while evaluating native AI capabilities before introducing bespoke solutions.
• Govern significant application changes, data model changes, third-party packages, platform versions, and other architectural decisions to ensure scalability, supportability, security, and upgrade readiness.
• Conduct regular platform health checks covering customization, API and governor limits, automation, storage, transaction and ticket volumes, AI consumption, licensing, and available capacity.
• Design enterprise data flows across operational and analytical environments, including APIs, event-driven integrations, batch pipelines, data warehouses, ELT/ETL, reverse ETL, and AI retrieval and grounding patterns.
• Establish secure data access and handling patterns that address privacy, residency, SOX, internal control, and sensitive customer and financial data requirements.
• Define integration and data contracts to protect downstream systems and consumers from disruptive upstream changes.
• Establish technology and integration patterns spanning iPaaS, identity and access management, secrets management, cloud services, APIs, AI agent tool interfaces, and scoped permissions.
• Partner with Infrastructure and Security teams on reliability, scalability, authentication, authorization, service-to-service access, environments, sandbox strategy, test data, and non-functional requirements.
• Collaborate with enterprise AI stakeholders to determine whether use cases are best addressed through embedded domain-specific AI or shared enterprise AI capabilities, supported by clear evidence around data access, sensitivity, reuse, and cost.
• Monitor and optimize cloud and platform consumption, including right-sizing, licensing, API usage, and elimination of unused or duplicated capacity.
• Produce target-state architectures, decision records, reference patterns, and high-level designs detailed enough for engineering teams to implement, including data models, field mappings, error handling, retries, failure modes, and AI evaluation approaches.
• Stay engaged throughout implementation, resolving architectural ambiguity, making trade-offs, and unblocking delivery decisions.
• Take ownership of difficult technical problems, including proofs of concept and root-cause analysis of complex production issues.
• Maintain a prioritized technical debt inventory and drive remediation through funded projects, upgrades, migrations, and architectural improvements.
• Participate in architecture governance forums and influence technical direction through expertise, collaboration, and clear communication rather than direct people management.

Requirements:

• Deep expertise in application and data architecture, with working fluency across business process and technology architecture.
• Strong hands-on experience with integration, automation, and applied AI, including retrieval-augmented generation, tool calling, agent orchestration, evaluation, and guardrails.
• Practical experience using AI in daily workflows, including AI-assisted development and productivity tools.
• Extensive experience architecting core enterprise business systems across ERP, CRM, CPQ, billing, financial, and customer service environments.
• Strong understanding of cross-system business processes, including quote-to-cash, billing, renewals, revenue recognition, and record-to-report.
• Expert knowledge of data modeling, enterprise integration patterns, API design, data warehouses, and ELT, ETL, and reverse ETL pipelines.
• Strong experience with iPaaS platforms and the operational realities of running enterprise integrations in production, including cost and consumption optimization.
• Working knowledge of cloud platforms and the infrastructure supporting enterprise integrations and applications.
• Experience designing systems that meet security, privacy, SOX, internal control, and compliance requirements.
• Ability to evaluate where AI adds meaningful value and where deterministic automation or human involvement is more appropriate.
• Demonstrated ability to influence architecture and drive change without direct authority over engineering or technology teams.
• Proven track record of producing architectures that successfully translate into implementation and of establishing standards adopted across independently managed platforms.
• Strong ability to explain complex technical trade-offs in clear business language to senior stakeholders, including Directors and VPs.
• Excellent written and verbal communication skills, with the ability to work effectively in distributed, asynchronous environments.
• Strong problem-solving skills, technical judgment, and comfort navigating ambiguity and complex enterprise environments.

Benefits:

• Base salary range of $168,000–$285,600 USD annually.
• Equity compensation and Employee Stock Purchase Plan.
• Benefits supporting employee health, finances, and overall well-being.
• Flexible Paid Time Off.
• Parental leave.
• Growth and Development Fund to support professional learning and career development.
• Remote work environment with location-based eligibility depending on the role.
• Team Member Resource Groups and an inclusive, collaborative workplace.
• Opportunity to work on large-scale enterprise architecture, automation, AI, data, and integration challenges.
• Broad cross-functional exposure across Applications, Engineering, Data, Security, Infrastructure, Finance, Sales, Customer Success, and Operations.
• Opportunity to influence enterprise technology strategy through architecture, technical leadership, and hands-on problem solving.
• Culture centered on continuous knowledge sharing, collaboration, innovation, and AI-enabled productivity.