Adobe Journey Optimizer developer
Cognizant · India
Cognizant · India
**Core Responsibilities** - Implement **AEP data pipelines**: Sources, datasets, XDM schemas, identity namespaces, and profile stitching. - Configure **AEP RT-CDP**: Segments, audiences, destinations (e.g., email/SMS, ad platforms), consent & governance controls. - Build **AJO journeys & campaigns**: Triggers, eligibility rules, orchestration logic, templates, personalization, experimentation. - Integrate **event sources** (Streaming, batch), **Edge** implementations, and **decisioning**. - Establish **monitoring & QA**: Data quality checks, segment population, journey performance, deliverability, error handling. - Collaborate with QA, Analytics, and Marketing Ops; document solutions & runbooks; provide L3 support. - Ensure **privacy/compliance**: Consent, opt-outs, data retention, PII handling, and regulatory adherence. - Optimize performance: throughput, latency, identity match rates, and downstream activation success. **Must-Have Skills** - Strong hands-on AEP: **XDM schema design**, **identity resolution**, **profiles**, **segments**, **sources/destinations**. - AJO: **Journey design**, **event triggers**, **audience eligibility**, **templates**, **offers/personalization**, **throttling**, **frequency capping**. - **Edge Network** basics and **tag management** (Adobe Launch / other TMS). - Practical experience with **JSON**, **APIs**, **webhooks**, and data transformation. - Understanding of **data privacy**, **consent frameworks**, and enterprise governance. **Nice-to-Have** - Adobe Target/Offers decisioning, Adobe Campaign integration, message rendering for email/SMS/push. - Experience with **Kafka/Kinesis**, **Snowflake/BigQuery**, **ETL/ELT** tools. - Basic scripting: Python/Node for utilities; CI/CD for configuration as code. - Familiarity with customer data platforms (CDPs) and cross-channel activation patterns.