Adobe AEP CDP Data Architect. – Contract – Hybrid – Central London – Day rate inside IR35
Key Responsibilities
- Design and own the end‑to‑end AEP / RT‑CDP data architecture, including ingestion, XDM modelling, identity resolution, profile enablement, and activation.
- Define Adobe XDM schemas (Profile‑enabled and non‑profile), datasets, and data flows aligned to current and future use cases.
- Establish architectural standards for batch, streaming, and real‑time ingestion patterns within AEP.
- Ensure AEP architecture supports scalable, multi‑brand, multi‑region use cases where applicable.
- Lead the design of data ingestion from various source systems
- Define event vs profile modelling strategies using best‑practice XDM patterns.
- Partner with Data Engineers to ensure ingestion pipelines are efficient, resilient, and documented.
- Design and govern identity resolution strategies, including identity namespaces, stitching logic, and merge policies within RT‑CDP.
- Define profile enablement rules and activation readiness criteria
- Translate business and marketing requirements into clear AEP data blueprints and solution designs.
- Act as the primary AEP data authority during solution design and delivery phases.
- Support delivery teams with design reviews, risk identification, and architectural decisioning.
- Clearly communicate architectural trade‑offs to senior technical and non‑technical stakeholders.
Required Skills & Experience
- 5+ years experience in a Data Architect role
- Strong hands‑on experience with Adobe Experience Platform, ideally including Real‑Time CDP & other Adobe solutions
- Proven experience in data architecture, enterprise data design, or solution architecture roles.
- Strong understanding of:
- Event‑driven data models
- Customer data modelling patterns
- APIs, JSON, and data transformation concepts
- Experience working with cloud data ecosystems (Azure, AWS, or GCP).
- Strong understanding of GDPR and privacy‑by‑design principles in customer data platforms.
Soft Skills
- Able to communicate complex data concepts clearly to both technical and business audiences.
- Confident working in client‑facing or stakeholder‑heavy environments
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