Lead Adobe RTCDP Architect

Bounteous is seeking a CDP Architect specializing in Adobe Real-Time Customer Data Platform (RTCDP) to design, implement, and maintain scalable, privacy-compliant customer data architectures and ensure the successful implementation of enterprise-grade CDP solutions. While the focus of this role is RTCDP, Adobe Experience Platform (AEP) platform administration experience is required, as well as familiarity with AJO, CJA, and other AEP services as the Adobe ecosystem increasingly depends on interconnected AEP capabilities.

This role defines the data structures, identity strategies, governance standards, and activation patterns that power high-quality customer profiles and downstream segmentation. The CDP Solution Architect partners closely with the Multi-Solution Architect, Martech Consultant, Data Engineering teams, privacy stakeholders, and enterprise data teams to ensure alignment with client use cases and data needs. The ideal candidate brings deep RTCDP and AEP expertise, several successful full-cycle implementations, and a consultative mindset that supports scalable, enterprise-grade data systems.

Responsibilities

• Serve as the primary platform expert for Adobe RTCDP, advising on architecture, governance, and best practices.
• Architect data models, schemas, datasets, and mappings aligned with client data structures and enterprise-scale AEP and CDP requirements.
• Design and document identity strategies including identity namespaces, stitching rules, and profile merging logic.
• Manage user roles and permissions in AEP to ensure proper access controls.
• Oversee system health and lead engineers through regular maintenance protocols to ensure compliance with organizational policies.
• Architect for Federated Audience Composition (FAC) and federated data access patterns to enable cross-system audience building and data usage, when required.
• Plan and oversee data ingestion pipelines, including batch, streaming, SDK and API, ensuring integrity, completeness, and privacy compliance.
• Ensure datasets are properly enabled for Profile with consent and data quality controls built into the ingestion strategy and data structures.
• Partner with Data Engineers to implement XDM schemas, plan data ingestion and dataset enablement, transformations, event pipelines, and monitoring.
• Define and optimize segmentation and activation strategies across AEP destinations and downstream systems.
• Align RTCDP architecture with enterprise data governance, privacy policies, and global data models.
• Lead discovery sessions to define use cases, identify data requirements, and uncover technical constraints.
• Create and present solution architecture documentation, including dataflow diagrams, identity maps, and destination activation models.
• Advise clients on privacy, consent, identity management, and governance frameworks, ensuring compliance with global policies.
• Provide expert guidance on CDP operational models, adoption patterns, and maturity roadmaps.
• Guide Data Engineers, Analysts, and partner teams throughout build, QA, and deployment cycles.
• Validate data models, ingestion mappings, and identity stitching for accuracy and scalability.
• Support activation teams through segmentation enablement and data readiness checks.
• Contribute to Bounteous CDP Centers of Excellence, frameworks, accelerators, and reusable delivery assets.

Preferred Qualifications

• 7 to 10 or more years of experience in marketing technology, MarTech architecture, or data engineering.
• Several full end-to-end Adobe RTCDP implementations completed, including architecture, ingestion, identity design, and activation.
• 3 or more years of hands-on Adobe RTCDP and AEP experience, including XDM schema design, profile enablement, ingestion, and identity resolution.
• Experienced with APIs, streaming ingestion, and ETL or ELT pipelines.
• Experience designing for federated data architectures, including Federated Audience Composition (FAC).
• Strong understanding of Identity Service, stitching logic, profile merging, and multi-source identity and privacy challenges.
• Experience with Adobe Tags (Launch), Adobe Analytics, CJA, and Journey Optimizer strongly preferred
• Experience working with cloud platforms such as AWS, GCP, or Azure, and data warehouses such as Snowflake, Salesforce CDP, Segment, BigQuery, or Redshift.
• Knowledge of privacy, consent, data governance, GDPR or CCPA, and enterprise security models.
• Proficient understanding of programming languages such as Python, Javascript, or SQL.
• Excellent analytical, problem solving, communication, collaboration, solution documentation, and client-facing consulting skills.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.

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. We invite you to stay connected with us by subscribing to our monthly job openings alert here.   Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.    #BI-Remote #LI-Remote

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