What you'll do
We are seeking an experienced Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA) Platform Engineer to design, build, and support customer data and activation solutions across the Adobe Experience Cloud ecosystem.
This role requires a strong foundation in data engineering, system integration, customer data platforms, and marketing technology platforms . The ideal candidate will have hands-on experience integrating enterprise data sources into AEP, enabling real-time customer profiles, supporting journey orchestration in AJO, and delivering insight-ready data models for CJA.
The Platform Engineer will work closely with architecture, marketing, analytics, product, and engineering teams to implement scalable, secure, and high-performing customer data solutions that support personalization, segmentation, activation, and reporting use cases.
Adobe Platform Engineering- Design, configure, and maintain solutions on Adobe Experience Platform (AEP) ,
Adobe Journey Optimizer (AJO) , and Customer Journey Analytics (CJA) . - Implement and support Real-Time Customer Data Platform (RTCDP) capabilities, including profile enablement, identity stitching, schema design, and audience activation.
- Build and optimize AJO journeys , event triggers, decisioning inputs, and audience-based orchestration.
- Support CJA data views , connections, derived fields, and reporting structures to enable business-friendly analytics and journey insights.
- Ensure platform configurations align with architectural standards, governance policies, and business requirements.
- Design and build scalable batch and near real-time data pipelines for ingesting data into Adobe Experience Platform.
- Develop and maintain XDM schema design , dataset structures, identity strategies, namespace mapping, and profile-enabled datasets.
- Perform data transformation, enrichment, validation, and standardization to ensure high-quality customer and event data.
- Enable ingestion of customer, behavioral, and transactional data from multiple enterprise systems into AEP.
- Support troubleshooting of data ingestion, schema validation, identity resolution, and profile fragmentation issues.
- Integrate AEP/AJO/CJA with upstream and downstream platforms such as:
- CRM systems
- Data warehouses / data lakes
- Web and mobile SDKs
- Marketing automation and messaging platforms
- Cloud storage and API-based systems
- Build and support API-based, file-based, streaming, and ETL/ELT integrations across Adobe and enterprise platforms.
- Collaborate with source system teams to define ingestion patterns, mapping logic, data contracts, and reconciliation processes.
- Support event collection and forwarding through Adobe Data Collection / Tags / Web SDK / Mobile SDK / Data streams where applicable.
- Enable outbound integrations for audience activation, journey execution, and analytics consumption.
- Monitor platform health, ingestion jobs, profile processing, audience evaluation, and journey execution.
- Investigate and resolve incidents related to data quality, pipeline failures, integration issues, and activation delays.
- Implement best practices for data governance, access control, privacy, consent, and security .
- Create and maintain operational documentation including runbooks, support procedures, data flow diagrams, and technical design documents.
- Partner with architecture and governance teams to ensure compliant use of customer data and platform features.
- Work closely with business stakeholders, campaign teams, architects, analysts, and external implementation partners.
- Translate business requirements into scalable technical designs and implementation plans.
- Participate in backlog grooming, solution design sessions, testing, release deployment, and post-production support.
- Provide technical guidance on platform capabilities, design trade-offs, and implementation best practices.
- Support user acceptance testing, production validation, and knowledge transfer to support teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data…
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