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Adobe Architect in Chicago

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Job DescriptionDescription

Remote

Our client seeks an Adobe Architect to own architecture, standards, and delivery across Adobe Experience Cloud and the broader MarTech ecosystem. The role requires hands-on leadership to architect enterprise solutions, review implementations, troubleshoot complex issues, validate data, and guide technical teams across web, mobile, data, and integrations.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. w2

JN -082026-108439

Responsibilities

  • Lead architecture across Adobe Experience Cloud, web, mobile, customer data, and enterprise integrations.
  • Drive Adobe Web SDK (Alloy) modernization and adoption of scalable implementation standards.
  • Define and govern enterprise data layers, XDM schemas, event taxonomies, architecture, and data collection frameworks.
  • Architect integrations between Adobe solutions, APIs, customer platforms, data warehouses, and backend systems.
  • Review and troubleshoot JavaScript, SDK implementations, APIs, data pipelines, SQL, and Python-based analyses.
  • Validate data flows from collection through reporting, personalization, activation, and downstream systems.
  • Establish governance, QA, release management, and technical best practices.
  • Mentor internal teams and provide technical oversight for agencies, vendors, and consulting partners.

Experience Requirements

  • Adobe Experience Platform, Web SDK (Alloy), Mobile SDK, Adobe Analytics and Customer Journey Analytics, Adobe Target, Adobe Journey Optimizer, Real-Time CDP, Adobe Tags/Launch, XDM, identities, profiles, and data governance.
  • Advanced JavaScript and modern web architectures.
  • Data layer design and event-driven tracking.
  • REST APIs and enterprise integrations.
  • Mobile tracking and SDK implementations for iOS and Android.
  • SQL and large-scale data analysis.
  • Python for troubleshooting, reconciliation, and automation.
  • Browser debugging, network analysis, and data validation.
  • GTM and consent platforms such as OneTrust.
  • and audience activation solutions.
  • Marketing automation and advertising technologies.
  • Data warehouses, data lakes, and streaming architectures.
  • Enterprise customer data integrations.

Education Requirements

Skills

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