CDP Data Engineer

Bounteous is seeking aCDP Engineer specializing in Adobe Real-TimeCDP (RTCDP) and Adobe Experience Platform (AEP) to support data ingestion, identity resolution, and profile creation for our client(s). 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.

TheCDP Engineer will work closely with theCDP Architect, data engineering teams, consultants, and marketing activation teams to ensure that AEP and theRTCDP instance is properly configured, performant, and governed. This role emphasizes data engineering within AEP andRTCDP, including ingestion, transformation, validation, and troubleshooting. The ideal candidate is detail oriented, analytical, and deeply familiar withRTCDP 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 maintainXDM schemas, datasets, and dataset mappings within Adobe AEP andRTCDP.

  • 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.

  • IntegrateRTCDP with downstream systems for activation across marketing, analytics, and personalization platforms.

  • Assist marketing activation teams in ensuring proper data availability for audiences and personalization.

  • SupportCDP Architect in designing scalable, governed data models and ingestion frameworks.

  • Contribute to continuous improvements inCDP automation, process efficiency, and operational best practices.

Preferred Qualifications:

• • 3 to 5 or more years of experience in data engineering, MarTech engineering, orCDP operations.

  • 2 or more years of hands-on AdobeRTCDP 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 ofXDM schemas, dataset configuration, and Profile enablement.

  • Proficiency in SQL and familiarity with ETL orELT 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, SalesforceCDP, Segment, Redshift, or BigQuery is a plus.

  • Working knowledge of consent, privacy, and data governance structures includingGDPR andCCPA.

  • 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.