CDP Data Engineer

Bounteous is seeking a CDP Engineer specializing in Adobe Real-Time CDP (RTCDP) and Adobe Experience Platform (AEP) to support data ingestion, identity resolution, and profile creation for a large-scale consumer telecommunications client. This hands-on technical role focuses on configuring data flows, mapping datasets to XDM schemas, ensuring high-quality Profile-enabled datasets, and supporting segmentation and activation accuracy across channels.

The CDP Engineer will work closely with the CDP Architect, data engineering teams, consultants, and marketing activation teams to ensure that AEP and the RTCDP instance is properly configured, performant, and governed. This role emphasizes data engineering within AEP and RTCDP, including ingestion, transformation, validation, and troubleshooting. The ideal candidate is detail oriented, analytical, and deeply familiar with RTCDP mechanics, data structures, and operational workflows.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role and Responsibilities:

• Refine, implement, configure, and maintain XDM schemas, datasets, and dataset mappings within Adobe AEP and RTCDP.
• Implement and transform data using ingestion pipelines including batch, streaming, SDK and API, ensuring all adhere to architectural and privacy standards and real-world data mappings.
• Work with the Solution Architect to implement data transformations, data prep rules, and identity stitching logic.
• Enable datasets for Profile, ensuring data quality, completeness, and consistency.
• Build and maintain identity resolution frameworks, including namespaces, linkages, and profile merging.
• Assist with segmentation readiness by validating attributes, events, audiences, and identity availability.
• Configure destination connectors and support activation flows across marketing and analytics ecosystems.
• Develop and execute data validation processes including anomaly detection, schema validation, and identity checks.
• Troubleshoot ingestion failures, mapping errors, identity conflicts, and segmentation issues.
• Maintain documentation for data flows, datasets, mappings, and governance controls.
• Configure and manage AEP sandboxes for development, testing, and production environments.
• Partner with privacy and governance teams to implement role based access, consent management, and compliance workflows.
• Work with Consultants, Data Scientists, and Analysts to write queries and enable segmentation, reporting, and ML model readiness.
• Integrate RTCDP with downstream systems for activation across marketing, analytics, and personalization platforms.
• Assist marketing activation teams in ensuring proper data availability for audiences and personalization.
• Support CDP Architect in designing scalable, governed data models and ingestion frameworks.
• Contribute to continuous improvements in CDP automation, process efficiency, and operational best practices.

• 3 to 5 or more years of experience in data engineering, MarTech engineering, or CDP operations.
• 2 or more years of hands-on Adobe RTCDP experience, including ingestion, transformation, identity resolution, and activation.
• Working knowledge of core Adobe services, such as Adobe Source Connectors, Streaming & Batch Ingestion, Data Prep and Query Service.
• Strong understanding of XDM schemas, dataset configuration, and Profile enablement.
• Proficiency in SQL and familiarity with ETL or ELT processing, data pipelines, and cloud based data platforms.
• Experience with APIs, Adobe I/O Runtime, Web SDK, and streaming data ingestion.
• Proficient in programming languages such as Python, JavaScript, or SQL.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Experience with Snowflake, Salesforce CDP, Segment, Redshift, or BigQuery is a plus.
• Working knowledge of consent, privacy, and data governance structures including GDPR and CCPA.
• Experience in Adobe Experience Cloud (AJO, Analytics, Target) is preferred but not required.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Posted 6 Hours Ago Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness. The summary above was generated by AI Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.