Enterprise Data Architect & Integration Lead

About PKF O’Connor Davies

PKF O’Connor Davies is a top-ranked accounting, tax, and advisory firm with offices across the U.S. and internationally through our PKF global network.

For over a century, we have built our reputation on deep industry expertise, a personalized approach, and a commitment to delivering real value to our clients.

Our mission is to provide exceptional service while fostering long-term relationships built on trust and integrity. We serve a diverse client base across industries and sectors, helping organizations and individuals navigate complex challenges with confidence.

At PKF O’Connor Davies, culture is at the heart of who we are. We believe our team members are our greatest asset, and we invest in their growth and success through mentorship, professional development, and continuous learning opportunities. Our goal is to foster a collaborative environment where diverse perspectives are valued, innovation is encouraged, and team members can make an impact.

We are also committed to supporting work–life balance, offering flexibility and resources to help our team members grow their careers while maintaining fulfilling personal lives.

If you are looking for a career where you can grow, contribute, and be part of a firm that values both excellence and community, PKF O’Connor Davies is the place for you!

We are seeking an experienced Enterprise Data Architect & Integration Lead to own and drive our organization’s data architecture strategy while leading development and integration practices. This role combines hands‑on architecture with team leadership, serving as a key bridge between data strategy, application development, and enterprise integration.

The successful candidate will act as a player‑coach, guiding a distributed team of developers while defining and implementing scalable, secure, and governed data and integration solutions. This individual will build upon an established SDLC and development framework to ensure continued maturity, adoption, and alignment with enterprise architecture standards.

This is a high‑impact role responsible for shaping the firm’s data and integration landscape. The Enterprise Data Architect & Integration Lead will play a central role in enabling scalable systems, improving data accessibility and quality, and driving long‑term technology strategy.

Any PKFOD office

• Own and drive the firm’s enterprise data architecture strategy, including data modeling, data flows, and platform design
• Define and implement a data architecture roadmap aligned with business goals and system integration needs
• Establish standards for data modeling, data storage, and data lifecycle management
• Design and oversee data pipelines, ETL/ELT processes, and real‑time data integrations
• Define and enforce data governance practices, including data quality, lineage, security, and access controls
• Partner with stakeholders to ensure data architecture supports reporting, analytics, and operational use cases
• Align application and integration design with enterprise data architecture principles

• Define and lead the enterprise integration strategy, including APIs, workflows, and system connectivity
• Design and oversee API architectures and integration patterns (REST, Graph
  
  QL, event‑driven, etc.)
• Guide the development of automation solutions and workflows to streamline business processes
• Ensure integrations are scalable, secure, and aligned with enterprise standards
• Collaborate with business teams and vendors to deliver robust integration solutions

• Own and evolve the firm-wide Software Development Lifecycle (SDLC) to ensure consistency, quality, and scalability
• Ensure adoption of development standards including code quality, testing, documentation, and deployment practices
• Define and maintain the development toolchain and platforms (e.g., Git Hub, CI/CD pipelines, environments)
• Promote best practices across version control, branching strategies, and release management

• Lead and mentor a distributed team of early-career developers focused on…