CDP Architect
Bounteous · United States · 3 wk ago
RemoteRemoteArt & CreativeContract
About the role
We are seeking an experienced Adobe RTCDP Developer with strong expertise in Adobe Experience Platform (AEP) and Real-Time Customer Data Platform (RTCDP). The ideal candidate will design and implement customer data solutions, enabling unified customer profiles, audience segmentation, and data activation across marketing channels.
Responsibilities
- Design and develop solutions using Adobe Experience Platform (AEP) and RTCDP.
- Configure XDM schemas, datasets, identities, and real-time customer profiles.
- Build and manage data ingestion and integration pipelines from multiple sources.
- Develop audience segmentation and activation strategies to support personalization initiatives.
- Collaborate with business, marketing, and technical teams to deliver scalable customer data solutions.
- Ensure data quality, governance, and compliance standards are maintained.
- Support performance optimization, troubleshooting, and platform enhancements.
Requirements
- 7+ years of experience in MarTech, Data Engineering, or Technology Architecture.
- Minimum 5+ years of hands-on experience with Adobe RTCDP and Adobe Experience Platform.
- Strong understanding of CDPs, customer data architecture, identity resolution, and audience management.
- Proficiency in SQL, Python, and JavaScript.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Exposure to big data technologies including Spark, Hadoop, and Kafka.
- Familiarity with software engineering technologies such as Java, Scala, Spark, and distributed data processing frameworks.
Qualifications
- Bachelor's or Master’s degree in computer science or a related technical discipline.
- Adobe RTCDP Developer Expert Certification or Adobe Experience Platform Business Practitioner Certification is preferred.
Preferred Skills
- Adobe Journey Optimizer (AJO)
- Adobe Analytics
- Adobe Target
- Data Warehousing
- Customer Data Platforms
- Marketing Technology ecosystems
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.