Adobe Experience Platform (AEP) and Journey Optimizer (AJO) Architect
Capgemini
United States
1 day ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$118,269.0 - $184,808.0
Working hours
Regular working hours
Job source
Tech stack
Adobe Analytics
Java (Programming Language)
JavaScript (Programming Language)
Adobe Illustrator
Adobe Creative Cloud
Adobe Experience Manager
Adobe Marketing Cloud
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Data Analysis
Microsoft Azure
+38 more
BigQuery
Information Systems
Computer Programming
Continuous Integration
Customer Data Management
Data Architecture
Data Cleansing
Data Governance
Data Integration
Extract Transform Load (ETL)
Data Retention
Data Warehousing
DevOps
JSON
Python (Programming Language)
Automation of Marketing
Cloud Services
Data Streaming
Scripting
Google Cloud
Data Ingestion
Sql Optimization
Adobe Campaign
Snowflake
Adobe Target
Git
Event Driven Architecture
Adobe
Information Technology
Tealium
Integration Frameworks
Virtual Agents
Api Design
Restful APIs
User Identification
Mulesoft
Amazon Redshift
Databricks
Job description
DevOps & Deployment data integration data architecture api integration cloud platforms programming skills data modeling data warehousing Adobe Experience Platform (AEP) Data Privacy & Compliance
- We are seeking an Adobe Experience Platform (AEP) Architect to lead the design and delivery of enterprise customer data and real-time personalization solutions for our clients.
- You will be the primary technical driver on AEP, Real-Time Customer Data Platform (RT-CDP), Adobe Journey Optimizer (AJO) and Customer Journey Analytics (CJA) engagements, turning business goals into scalable architectures, guiding distributed delivery teams, and advising client leaders from discovery through go-live and value realization., Strategy and client advisory:
- Lead discovery workshops with business and technology stakeholders to define customer experience use cases, requirements and success metrics.
- Translate business goals into an AEP architecture and a phased implementation roadmap.
- Present architecture recommendations, trade-offs and risks to client executives at the VP and C-level.
- Support pre-sales activities, including solutioning, effort estimation, statements of work and client presentations.
Architecture and design:
- Design end-to-end solutions across AEP, Real-Time CDP, Adobe Journey Optimizer and Customer Journey Analytics, with architecture diagrams, data flows and reference architectures.
- Design reusable Experience Data Model (XDM) schemas, field groups, and profile and event datasets aligned to activation and governance needs.
- Define the identity strategy, including identity namespaces, primary identity, identity graph linking rules, device-to-person stitching and merge policies.
- Design audience and segmentation strategies (streaming, batch and edge) and activation to downstream destinations.
- Define how AEP profiles, audiences and events power AJO journeys, campaigns and Offer Decisioning, so the data foundation and the activation layer are designed together.
Journey orchestration and channels (AJO):
- Partner with AJO specialists to design event- and audience-triggered journeys and campaigns, making sure the AEP events, profiles and audiences they depend on are reliable and timely.
- Advise on AJO configuration where needed, including custom actions, external data sources, channel surfaces and Offer Decisioning.
- Define how journey and message feedback data flows back into AEP and Customer Journey Analytics for measurement.
Data collection, ingestion and integration:
- Define data collection strategies using Adobe Web SDK, Mobile SDK, Adobe Tags and the Edge Network, including event design for real-time triggers.
- Design batch, streaming and API-based ingestion pipelines that bring online and offline enterprise data into AEP.
- Design API-led and event-driven integrations with CRM, e-commerce, point-of-sale, data warehouses, marketing automation and other Adobe solutions (AEM, Adobe Analytics, Adobe Target, Adobe Campaign).
- Use Query Service and Data Distiller for data preparation, validation, analysis and exports.
Governance, quality and operations:
- Establish data governance, data usage labeling, consent and privacy enforcement in line with GDPR, CCPA and industry regulations.
- Define data quality, lineage and monitoring practices, including identity graph health (for example, collapsed or oversized profiles).
- Monitor platform performance and capacity against license entitlements, including profile volumes, ingestion throughput and data retention.
- Lead troubleshooting and remediation of delivery issues across ingestion, identity, segmentation and activation.
Delivery leadership:
- Lead and mentor distributed onshore, offshore and nearshore teams, and review designs for quality, scalability and security.
- Define and document functional and non-functional requirements (performance, latency, data volume, security).
- Create best practices, accelerators, templates, runbooks and thought leadership content for the practice.
- Track the Adobe product roadmap, including emerging AI capabilities such as AI Assistant and Agent Orchestrator, and advise clients on their use.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems or a related field, or equivalent experience.
- 12 or more years of experience in information technology, with a strong background in customer data, CRM, data architecture or marketing technology.
- 5 or more years of experience with Adobe Experience Cloud, including at least 4 years of hands-on architecture on Adobe Experience Platform and Real-Time CDP.
- Led at least two end-to-end implementations of AEP or Real-Time CDP for enterprise clients.
- Deep expertise in identity resolution, including deterministic identity, identity namespaces, profile stitching and merge policies.
- Strong data modeling experience, including XDM schema design and customer-centric datasets (CRM, marketing, digital, offline and point-of-sale).
- Experience with Web SDK, Mobile SDK, Adobe Tags or Edge Network data collection.
- Experience designing batch, streaming and API-based data integrations, and working knowledge of REST APIs, JSON and event-driven architecture.
- Advanced SQL skills, ideally with AEP Query Service or Data Distiller, and experience with ETL tools and data warehouses.
- Understanding of data governance, consent management and privacy regulations (GDPR, CCPA).
- Experience leading and mentoring distributed delivery teams and estimating implementation effort.
- Excellent written and verbal communication, with the ability to explain complex architecture decisions to technical, marketing and executive audiences., * Hands-on experience with Adobe Journey Optimizer, including journeys, campaigns, events, custom actions, messages and offers.
- Experience configuring AJO channel surfaces (email, SMS, push, in-app), including subdomain setup, IP pools and IP warming or deliverability strategy.
- Hands-on experience with Journey Optimizer Decisioning and Offer Decisioning (offer collections, placements, decision scopes, eligibility and prioritization rules).
- Familiarity with messaging regulations such as CAN-SPAM and TCPA, and with suppression, frequency capping and quiet hours.
- Adobe Certified Professional or Expert certification in Adobe Experience Platform, Real-Time CDP, Adobe Journey Optimizer or Customer Journey Analytics; Adobe Certified Master or Architect is a plus.
- Experience with other Adobe solutions, such as Adobe Analytics, Adobe Target, Adobe Campaign, Adobe Experience Manager and Adobe Tags.
- Experience migrating customers from legacy campaign or CDP platforms (for example, Adobe Campaign, Unica, Salesforce Marketing Cloud) to AEP.
- Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and public cloud services (AWS, Azure, GCP).
- Familiarity with third-party identity and integration tools (LiveRamp, Acxiom, Tealium, Segment, MuleSoft).
- Experience with Git, CI/CD, sandbox and environment promotion, and automated validation.
- Programming or scripting experience in Python, JavaScript or Java.
- Industry experience in retail, consumer goods, financial services, healthcare, telecom or travel.
- Experience with emerging Adobe AI capabilities, such as AI Assistant, Agent Orchestrator and AJO Experimentation.
Key Words:
- Adobe Experience Platform (AEP), Real-Time Customer Data Platform (RT-CDP), Adobe Journey Optimizer (AJO), AJO Campaigns, Journey Orchestration, Journey Optimizer Decisioning, Customer Journey Analytics (CJA), Experience Data Model (XDM), Identity Service, Identity Graph, Query Service, Data Distiller, Adobe Web SDK, Mobile SDK, Adobe Tags (Launch), Edge Network, Offer Decisioning, Adobe Target, Adobe Campaign, Customer Data Platform (CDP), Identity Resolution, Omnichannel Personalization, Email Deliverability, IP Warming, Lifecycle Marketing, Data Governa
Benefits & conditions
The pay range that the employer in good faith reasonably expects to pay for this position is $56.86/hour - $88.85/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
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