Adobe CDP Architect

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

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 GSAM 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.
• 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 global, domestic, and telecommunications - specific 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.