CDP Architect

November 25

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Bounteous

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Enterprise • SaaS • Artificial Intelligence

Bounteous is a digital solutions firm known for its co-innovation model, which assists leading brands in navigating digital transformations and enhancing user experiences. The company partners with businesses from various sectors such as financial services, healthcare, telecommunications, retail, and convenience, to deliver data-driven solutions. Bounteous offers expertise in areas including artificial intelligence, data analytics, digital commerce, and cloud enablement, helping its clients harness technology for sustained growth and brand loyalty. With a global presence, Bounteous is dedicated to creating personalized and effective digital strategies that drive business success.

501 - 1000 employees

Founded 2003

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-08

📋 Description

• 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.

🎯 Requirements

• 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.