We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs.<br><br>Responsibilities:<br>• Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals.<br>• Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate.<br>• Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed.<br>• Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management.<br>• Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability.<br>• Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems.<br>• Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning.<br>• Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases.<br>• Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs.<br>• Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
<p>We are seeking a Lead Data Architect with deep expertise in digital commerce, product data architecture, and Adobe Commerce to lead the evolution of an enterprise product data ecosystem.</p><p><br></p><p>This role is ideal for someone who thrives at the intersection of product information, commerce architecture, and data governance. You will own the technical architecture for customer-facing product data, helping define how product information is modeled, governed, and delivered across digital commerce platforms.</p><p><br></p><p>The ideal candidate brings a strong background in **Product Content Management (PCM), Product Information Management (PIM), Adobe Commerce, and enterprise data architecture**, with the ability to improve existing solutions while designing a scalable future-state architecture.</p><p><br></p><p>Responsibilities</p><p>* Lead the architecture and strategy for customer-facing product data across digital commerce platforms.</p><p>* Serve as the technical owner for Product Content Management (PCM) and Adobe Commerce architecture.</p><p>* Design scalable product data models that support configurable products, product variants, bundles, kits, and complex product relationships.</p><p>* Partner with Data Governance teams to improve data quality, stewardship, ownership, and consistency.</p><p>* Define and optimize integrations between Adobe Commerce, ERP systems, PIM platforms, and content management systems.</p><p>* Evaluate existing commerce architecture, identify gaps, and develop practical solutions that build upon current investments.</p><p>* Improve product data structures to support personalization, customer-facing experiences, and future digital capabilities.</p><p>* Collaborate with business and technical stakeholders to establish governance standards and long-term architecture strategy.</p><p>* Provide hands-on architecture leadership while guiding enterprise product data initiatives.</p><p><br></p><p>**First 30 Days**</p><p>* Assess the current product data architecture and identify data quality and integration gaps.</p><p>* Document workarounds and prioritize improvements based on business value and technical risk.</p><p>* Develop remediation recommendations for the highest-priority issues.</p><p><br></p><p>**First 90 Days**</p><p>* Define and socialize the target-state architecture.</p><p>* Establish a clear vision for product data governance and digital commerce integration.</p><p>* Influence enterprise PIM planning and architectural direction.</p><p><br></p><p>**First 12 Months**</p><p>* Deliver a more stable, governed, and scalable product data architecture.</p><p>* Establish a well-defined integration strategy between digital commerce platforms and enterprise product data systems.</p><p>* Remove key product data constraints that enable future digital commerce capabilities.</p><p><br></p><p><br></p>