PIM/PXM Solutions Architect for Agentic Commerce

Accenture PLC; San Diego (CA); On-site; USD 133,000 - 302,000; Full time

Job summary

Accenture is seeking an experienced PIM/PXM Architect to own end-to-end technical architecture for complex commerce deployments. You will translate business requirements into scalable, secure designs and lead integration strategy across PIM, DAM, ERP, and syndication platforms.

You will collaborate with stakeholders, guide delivery teams, and ensure governance and quality across environments, including data integrity and security considerations.

Qualifications

• 5+ years designing PIM/PXM architectures and integrations.
• Experience with data modeling for multi-channel commerce.
• Strong API strategy and integration engineering skills.
• Proven ability to design scalable, secure architectures.
• Experience with SaaS platforms and enterprise integration patterns.

Responsibilities

• Own end-to-end technical architecture for PIM, PXM, and commerce SaaS deployments.
• Translate requirements into scalable, secure architectures aligned with standards.
• Design data models, workflows, and system landscapes across PIM, DAM, ERP, and syndication.
• Lead integration strategy using APIs, services, and event-driven patterns.
• Provide hands-on technical leadership to delivery teams and ensure quality.
• Collaborate with stakeholders to align design with business timelines.

Skills

PIM architecture

Data modeling

API strategy

Workflow governance

SQL / Python / ETL

REST APIs & event-driven

Integration architecture

Multi-language data handling

Tools

Mulesoft

Boomi

Azure Integration Services

Job description

Accenture is seeking an experienced PIM/PXM Architect to own end-to-end technical architecture for complex commerce deployments. You will translate business requirements into scalable, secure designs and lead integration strategy across PIM, DAM, ERP, and syndication platforms.

You will collaborate with stakeholders, guide delivery teams, and ensure governance and quality across environments, including data integrity and security considerations.