Integration Architect with MarTech and Google Cloud Platform

Overview

Remote
$80 - $90
Contract - W2
Contract - Independent

Skills

Adobe
MarTech
GCP

Job Details

Integration Architect with Adobe Platform and Google Cloud Platform

Should ideally come out of retail or supply chain (Martech) or have supported customer personalization projects

Remote

Exp: 14+yrs
    • Google Cloud BigQuery data warehouse
    • Adobe stack knowledge required
  • Integration patterns focus:
    • Confluent Kafka streaming/integration platform knowledge preferred
    • Google Cloud PubSub and ClickAppache (must-haves)
    • Enterprise integration patterns (Gregor Hohpe methodology)
    • Event-driven architecture liaison with enterprise integration team
    • Migration from batch processing to near real-time data ingestion
    • Asynchronous APIs backed by event streaming systems
  • Education & Experience:
    • Bachelor s degree in Computer Science, Software Engineering, or a related field.
    • 5+ years of experience in integration architecture, with at least 2+ years specializing in Adobe Experience Platform.
  • Technical Skills:
    • Strong knowledge of AEP components, including Real-Time Customer Data Platform (RT-CDP), Identity Service, and Activation workflows.
    • Proficient in API development, RESTful services, and JSON.
    • Experience with tools and platforms like MuleSoft, Talend, or similar integration frameworks.
    • Familiarity with data modeling, schema creation, and ETL pipelines within AEP.
    • Expertise in authentication protocols (OAuth, SAML) and security best practices.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
    • Ability to lead and mentor team members in implementing integration solutions.

Preferred Qualifications

  • Adobe certification in Adobe Experience Platform (e.g., Adobe Certified Expert AEP).
  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Knowledge of event-driven architectures and streaming platforms like Kafka.
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