Staff Engineer, Adobe Journey Optimizer

Job description

**We're Nagarro.** We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS - Strong hands-on experience with **Adobe Experience Platform (AEP) Real-Time CDP** and **Adobe Journey Optimizer (AJO)** - Proven expertise in designing and implementing **XDM schemas, datasets, field groups, identity maps, and profile-enabled datasets** - Experience configuring **sources, datastreams, batch and streaming ingestion**, and monitoring ingestion health - Strong knowledge of **Real-Time CDP audience creation**, including batch and streaming segmentation, inclusion/exclusion logic, suppression, and audience activation - Expertise in **Identity Resolution**, including namespaces, identity stitching, merge policies, duplicate resolution, and profile management - Experience with **Adobe Data Distiller (Query Service)** and SQL for data enrichment, reporting, and derived attributes - Hands-on experience building, testing, debugging, and deploying customer journeys using **Adobe Journey Optimizer** - Experience configuring **destinations and audience activation** for Adobe Campaign Classic, cloud storage/Data Landing Zone, and paid media platforms - Working knowledge of **Adobe Campaign Classic v8 integration**, including audience synchronization, writeback, event tracking, and suppression handling - Strong understanding of **consent management, GDPR, data governance, privacy-by-design, and PII handling** - Experience managing **sandbox migration**, configuration promotion, and release management across environments - Exposure to **Azure, Databricks, Azure Data Lake**, and cloud-based data platforms - Experience working with **Adobe Experience Platform APIs**, Flow Service, Catalog Service, Segmentation APIs, Query Service, and Postman is preferred - Adobe certifications in **Adobe Experience Platform, Real-Time CDP, or Adobe Journey Optimizer** are highly desirable - Excellent communication, documentation, stakeholder management, and knowledge transfer skills - Experience working in Agile delivery environments is preferred RESPONSIBILITIES - Design, build, and manage **Adobe Experience Platform Real-Time CDP** solutions to support enterprise customer data and marketing initiatives - Create and maintain **XDM schemas, datasets, classes, field groups**, and enable datasets for Real-Time Customer Profile - Configure and manage **batch and streaming data ingestion**, sources, datastreams, and data mapping from enterprise data platforms - Design, implement, and optimize **batch and streaming audiences**, including audience qualification, suppression, exclusion, and activation logic - Develop and maintain customer journeys using **Adobe Journey Optimizer**, including testing, debugging, and production deployment - Implement identity management using **identity namespaces, stitching rules, merge policies**, and profile governance - Build **Data Distiller SQL queries** for data enrichment, reporting, calculated attributes, and analytical datasets - Configure and support integrations between **Adobe Real-Time CDP and Adobe Campaign Classic v8**, including audience synchronization, writeback, and event tracking - Ensure high-quality data collection, governance, privacy compliance, and consent management across customer data platforms - Manage destination configuration and audience activation to downstream marketing and cloud platforms - Perform configuration migration and deployment across development, testing, and production sandboxes - Troubleshoot complex data ingestion, identity resolution, segmentation, journey orchestration, and activation issues - Collaborate with business, marketing, analytics, and engineering teams to deliver scalable customer engagement solutions - Produce technical documentation, support knowledge transfer activities, and mentor team members throughout project delivery