Remote Enterprise QTC Architect (Salesforce/NetSuite)

Paylocity

United States

On-site

USD 190,000 - 240,000

Full time

14 days+

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Job summary

Paylocity invites an accomplished Enterprise Solution Architect to lead the modernization of our Quote-to-Cash ecosystem. You will define target architecture across CPQ, ERP, billing, and AI-enabled services, driving simpler seller experiences and a scalable commercial model.

This role emphasizes governance, integration standards, and strategic transformation leadership. You will collaborate with Sales Operations, Deal Desk, and Revenue Operations to reduce friction, orchestrate end-to-end

Qualifications

Bachelor's degree in Computer Science or equivalent.
10+ years of enterprise solution architecture experience, including 5+ years with enterprise Quote-to-Cash solutions.
Deep Salesforce Sales Cloud knowledge and Salesforce CPQ and/or Revenue Cloud expertise.
Strong product, pricing, bundle, and monetization architecture experience including subscription, usage-based, and consumption-based models.
Strong NetSuite ERP integration and implementation experience, with working knowledge of order fulfillment, billing, and revenue operations systems.
Architecture experience with Boomi or a comparable enterprise integration platform, including API-led, event-driven, and batch integration patterns.
Proven leadership of large-scale QTC modernization or transformation programs.
Practical experience designing or integrating copilots, AI agents, or intelligent automation into enterprise workflows, with awareness of responsible AI practices such as guardrails, human-in-the-loop patterns, and data governance.
Exceptional whiteboarding, process modeling, executive presentation, and solution storytelling skills.
Salesforce CPQ Specialist certification.
Salesforce Application Architect certification (or the four constituent architect designations).
NetSuite SuiteFoundation certification, with NetSuite ERP Consultant or NetSuite Administrator strongly preferred.
Demonstrated experience designing end-to-end Quote-to-Cash architectures across CPQ, ERP, and integration layers.

Responsibilities

Refactor the product, pricing, bundle, and AI monetization architecture to support current offerings, future business models, and AI-enabled monetization patterns including subscription, usage-based, and consumption-based models.
Lead the simplification of Quote-to-Cash processes by partnering directly with high-performing sellers, Sales Operations, Deal Desk, and Revenue Operations to eliminate CPQ friction and reduce manual touchpoints across quoting, ordering, billing, and revenue operations.
Define and publish the enterprise Quote-to-Cash target architecture spanning Quote-to-Order, Order-to-Fulfillment, Order-to-Bill, and Bill-to-Revenue, including capability map, system boundaries, data ownership model, integration strategy, and multi-year roadmap.
Standardize integration and data architecture across the QTC landscape by publishing API, event, batch, middleware, canonical data, and observability standards and driving architecture review coverage for strategic initiatives.
Architect the Order-to-Fulfillment workstream, defining orchestration, status, audit, retry, reconciliation, and exception-management patterns across CPQ, order management, NetSuite, billing, and fulfillment systems.
Enable agentic AI innovation in Quote-to-Cash by identifying high-value copilot and agent use cases, defining AI architecture principles, human-in-the-loop patterns, security controls, and observability standards, and launching measurable AI-enabled pilots.
Strengthen architecture governance and quality through a QTC architecture review process, decision-record standard, and executive-ready diagrams, process flows, roadmaps, and decision records for all major QTC initiatives.
Deliver the Quote-to-Cash transformation strategy, including assessment of current CPQ capabilities and technical debt, evaluation of platform options such as Salesforce Revenue Cloud with Agentforce-enabled capabilities, and a phased migration plan with sequencing, risks, investment, and expected business value.
Evaluate new requests and deliverables considering scalability, reliability, and performance of systems and contexts affected for a complete end-to-end solution design and architecture.