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Staff Engineer (Adobe Campaign Adobe Real-Time CDP)
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Job Description
Requirements: 7+ years of hands-on experience with Adobe Real-Time CDP Strong understanding of customer data management, data modeling, and data governance principles Experience with data integration, APIs, and cloud-based architectures Proven track record of successfully implementing and maintaining large-scale Adobe projects Excellent problem-solving skills, with the ability to troubleshoot complex technical issues Strong communication and collaboration skills, with experience working with cross-functional teams Bachelor's degree in Computer Science, Information Technology, or a related field Adobe Certified Expert in Real-Time CDP is a plus Migration from Adobe Campaign Classic from v7 to v8 will be added advantage Implement IP warming strategies to ensure optimal email deliverability and reduce spam filters will be added advantage Responsibilities: Designing, Implementing, and Maintaining Adobe Real-Time Customer Data Platform (RT-CDP) Working closely with Marketing, Analytics, Business, RHQs and IT teams to ensure seamless data integration, technical enhancements, and customer experience orchestration.
Develop and execute complex data integration solutions between Adobe RT-CDP and other systems. Create and manage schemas, segments, and data sources within Adobe RT-CDP.
Create and configure XDM (Experience Data Model) schemas, datasets, and identities to enable consistent data management across channels Ensure data quality, integrity, and compliance with organizational standards and regulatory requirements Utilize Query Service in CDP to create custom queries, aggregate data, and generate insights Configure new data sources, such as CRM, ERP, or social media platforms, to ingest into CDP Set up new destinations in CDP, such as Adobe Campaign Classic Design, implement, and maintain Adobe Real-Time CDP, including data ingestion, profiling, and segmentation and technical enhancements Develop and maintain data models, schemas to support customer data management and
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