Principal Architect

MedPro Systems•Wharton, NJ

7d•Onsite

About The Position

The Principal Architect is a senior individual contributor and hands-on technical leader responsible for defining and advancing MedPro’s target-state architecture, platform modernization strategy, and cross-product technical direction. This role partners directly with the VP of Engineering, engineering leads, product stakeholders, Data Operations, and IT/Security to move MedPro from a collection of independently built legacy and modern products toward a coherent, scalable platform company. This role does not manage people or own a separate budget. It leads through technical authority, execution, influence, credibility, and clear decision frameworks. The Principal Architect is expected to design, prototype, and help deliver critical reference implementations while guiding teams toward common patterns, reusable capabilities, and intentional modernization decisions. A central focus of the role is DataFlow, MedPro’s strategic in-house data platform and shared foundation for acquiring, mastering, matching, exploring, securing, and distributing MedPro data. DataFlow is intended to become the common internal and external interface for data capabilities across MedPro, replacing duplicated patterns and fragmented systems over time through disciplined modernization and incremental migration.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field — or equivalent demonstrated expertise.
Proven ability to define architecture and technical strategy that impacts multiple products, teams, or domains.
Strong hands-on engineering capability with the ability to design, prototype, review, and implement critical platform components or reference implementations.
Ability to influence without direct management authority and align technical leads, engineers, product stakeholders, and executives around a shared technical direction.
Exceptional analytical, communication, facilitation, and mentorship skills.
Strong judgment in balancing modernization, technical debt reduction, operational risk, customer impact, and roadmap delivery.
Experience building and scaling internal platforms adopted by multiple product teams.
Experience with master data management, healthcare provider or organization data, data matching and merging, search, extract delivery, data governance, or data-product operating models.
Experience with strangler fig modernization, modular monolith decomposition, service-oriented or event-driven architectures, and incremental migration from legacy systems.
Experience establishing architecture decision records, reference architectures, engineering standards, and lightweight design review processes.
Familiarity with observability and operational excellence practices, including application performance monitoring, service reliability, supportability, and production readiness.
Familiarity with lean/agile product delivery, technical roadmapping, systems thinking, and organizational change management.
Track record of improving engineering leverage through reusable patterns, frameworks, shared services, or platform capabilities.
10+ years of software engineering experience, including significant ownership of complex systems, platforms, or modernization initiatives.
Experience with MedPro’s target and legacy technology landscape preferred, including React, Python/FastAPI, PostgreSQL, MongoDB, Oracle/PLSQL, .NET, Classic ASP, message queues, search platforms, observability tooling, and cloud or hybrid infrastructure patterns.
Fluency with AI-assisted software development practices and the ability to guide responsible adoption across engineering teams.
Demonstrated experience modernizing legacy SaaS, enterprise software, healthcare technology, data platforms, or other business-critical systems while maintaining production continuity.
Experience with platform architecture, API-first design, domain-driven design, event-driven architecture, integration patterns, data products, and incremental migration approaches.

Nice To Haves

Experience in Life Sciences, healthcare, compliance, regulated industries, or data-intensive SaaS environments preferred but not required.

Responsibilities

Define and maintain MedPro’s technical North Star, target-state architecture, and modernization principles in partnership with the VP of Engineering.
Own the architecture vision for DataFlow as MedPro’s shared data platform foundation, including identity integration, role-based access control, data acquisition, master data management, matching and merging, search, data exploration, standard extracts, outbound data services, APIs, and shared platform capabilities.
Translate the DataFlow vision into pragmatic architecture patterns, phased migration plans, and reference implementations that engineering teams can adopt incrementally.
Design and lead strangler-pattern modernization approaches that allow MedPro to replace legacy Oracle/PLSQL, Classic ASP, .NET, and other legacy components without halting product delivery.
Identify and collapse duplicate functionality, integrations, data flows, workflows, and storage patterns across MCR US, MCR International, MedProID, Data Acquisition, LDD/DLS, DASH, EngagePro, Bulk ID, WebID, AD/outbound data capabilities, and related platforms.
Establish clean domain boundaries and shared services that allow products to converge where commonality creates leverage while preserving fit-for-purpose components where separation is warranted.
Design and implement critical systems, prototypes, shared services, and hardest-path code that demonstrate the intended architecture and reduce adoption risk for product engineering teams.
Partner with technical leads to align product-level decisions with enterprise architecture goals, without creating a heavy approval process or slowing teams unnecessarily.
Lead lightweight engineering design reviews, architecture decision records, and technical standards that promote velocity with coherence rather than gatekeeping.
Guide patterns for scalability, reliability, observability, performance, maintainability, security, and supportability across the engineering organization.
Partner with Product leadership and Product Owners to ensure roadmap decisions account for long-term platform convergence, technical debt reduction, modernization sequencing, and customer impact.
Collaborate with Data Operations, IT/Security, and shared service owners to clarify boundaries between product engineering, platform capabilities, infrastructure, security, operations, and data stewardship.
Advance AI-assisted engineering practices and AI-enabled product architecture where they create measurable leverage, while ensuring responsible, secure, and maintainable implementation patterns.
Serve as a mentor, coach, and force multiplier for engineering leads and senior engineers through design pairing, technical reviews, architecture office hours, and direct delivery collaboration.
Communicate complex architecture decisions clearly to technical and non-technical stakeholders, including executive audiences when needed.