About the job:

We're looking for an experienced Adobe Experience Platform (AEP) Developer who also brings strong hands-on knowledge of Adobe Journey Optimizer (AJO). In this role, you'll build and maintain the data foundation that powers our customer experience — designing schemas, ingesting and modeling data, and managing audiences in the Real-Time Customer Data Platform — while also helping activate that data through orchestrated, personalized journeys in AJO.

This is a hybrid data-engineering and marketing-technology role. You'll work closely with data engineers, marketers, and campaign teams to turn business requirements into scalable, well-governed technical solutions across the Adobe Experience Cloud.

Key Responsibilities:

Adobe Experience Platform (AEP)

- Design and implement XDM (Experience Data Model) schemas, field groups, classes, and identity namespaces
- Configure and manage data ingestion through streaming and batch pipelines, source connectors, and the Data Collection / Web SDK (Alloy)
- Build and maintain datasets, data flows, and Data Prep mappings and transformations
- Configure Real-Time CDP (RT-CDP): profiles, identity stitching via Identity Service, merge policies, and audience/segment creation
- Write and optimize Query Service (SQL / PSQL) queries and support Data Distiller use cases
- Set up and manage destinations to activate audiences to downstream channels and platforms
- Implement data governance using DULE labels, consent policies, and the Privacy Service
- Integrate AEP with other systems via AEP APIs (Flow Service, Catalog, Segmentation, Profile)




- Monitor data quality and pipeline health, and troubleshoot ingestion or profile issues

Adobe Journey Optimizer (AJO)

- Design, build, and QA event- and audience-triggered journeys and orchestrated campaigns
- Configure message channels — email, push, SMS, in-app, and direct mail — including delivery and channel settings
- Build dynamic, data-driven personalization using AJO's expression editor and profile/context attributes
- Set up journey events, data sources, and actions, connecting journeys to AEP audiences and real-time data
- Support decisioning / offer decisioning and content experimentation where applicable
- Partner with marketing teams to translate campaign requirements into technical journey logic
- Monitor journey performance and deliverability, and troubleshoot execution issues

Cross-Functional

- Collaborate with data engineering, marketing, analytics, and IT/security teams
- Document technical designs, data flows, schemas, and journey logic
- Follow best practices for governance, privacy, testing, and release management
- Provide guidance and knowledge-sharing to junior developers and business stakeholders

Required Qualifications:





- 3+ years of hands-on experience with Adobe Experience Platform, including XDM schema design, data ingestion, RT-CDP, and segmentation
- Demonstrated experience building and managing journeys and campaigns in Adobe Journey

Optimizer

- Strong SQL skills and experience with AEP Query Service
- Proficiency with JavaScript / JSON and working with REST APIs
- Solid understanding of customer data platforms, identity resolution, and audience activation
- Experience with the Adobe Experience Platform Web SDK (Alloy) and Edge Network data collection
- Understanding of data privacy and governance (consent, DULE, GDPR/CCPA considerations)
- Strong problem-solving skills and the ability to translate business requirements into technical solutions
- Excellent communication skills for working across technical and non-technical teams

Preferred Qualifications

- Adobe Certified — e.g., Experience Platform Developer / Data Architect, or Journey Optimizer certification
- Experience with the broader Adobe Experience Cloud (Analytics, Target, Customer Journey Analytics, Campaign)
- Familiarity with Data Distiller and advanced Query Service use cases
- Experience with offer decisioning or personalization/decisioning engines
- Background in data engineering (ETL pipelines, data modeling, cloud data platforms)
- Scripting or automation experience with Python or similar
- Experience with CI/CD, version control (Git), and API-based deployment/automation
- Prior experience in an agency, consulting, or enterprise martech workplace

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