Senior Adobe Journey Optimizer (AJO) Engineer - Remote / Telecommute
CYNET SYSTEMS INC.
Nashville, TN, United States
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$114,400.0 - $124,800.0
Working hours
Regular working hours
Job source
Tech stack
Adobe Experience Manager
Data Analysis
Customer Data Management
Data Validation
Data Governance
Data Synchronization
Relational Databases
Database Queries
JSON
Standard Sql
PL-SQL
SQL Databases
+9 more
Data Streaming
Data Ingestion
Snowflake
Adobe
Data Lakes
Restful APIs
Webhooks
Data Pipelines
Api Management
Job description
- Lead the hands-on creation, testing, and deployment of complex multi-step journeys, transactional triggers, and batch campaigns within Adobe Journey Optimizer (AJO).
- Implement real-time, event-driven journey triggers and align event tracking schemas to capture high-frequency touchpoints.
- Act as the primary technical point of contact for daily AJO and RTCDP operational issues, diagnosing flow failures, payload errors, and data sync gaps.
- Leverage Adobe Data Distiller and AEP Query Service to query data lakes, build derivative datasets, and perform advanced data analysis.
- Support daily audience segmentation, profile merge policies, identity stitching, and data ingestion validation within RTCDP.
- Build, update, and manage AJO Decision Management rules, fallback offers, and ranking strategies.
- Execute hands-on data validation and quality checks, specifically reconciling data pipelines and movement from Snowflake to AEP.
- Map journey event data into Customer Journey Analytics (CJA) to enable comprehensive attribution and behavioral reporting.
- Configure global suppression logic, frequency capping, and cooldown rules to ensure brand compliance.
- Configure and maintain custom actions, webhook integrations, and lightweight custom code extensions.
- Consult with business stakeholders to identify and suggest use cases that maximize the ROI of the AJO toolkit.
Nice to Have:
- Retail industry experience, particularly familiarity with high-frequency customer data, retail loyalty operations, and high-volume promotional schedules.
Requirements
- Senior-level hands-on practitioner with extensive, daily operational experience implementing and supporting Adobe Experience Platform (AEP) modules.
- Expert-level journey canvas design, message authoring (Email, Push, SMS), event configuration, and troubleshooting in Adobe Journey Optimizer (AJO).
- Experience with Adobe Real-Time CDP (RTCDP) including profile management, audience segmentation, identity graphs, and data governance.
- Experience with Adobe Data Distiller for querying data lakes, generating custom datasets, and running SQL queries.
- Experience configuring personalized offers, rules, and decision scopes in Decision Management.
- Advanced proficiency in Standard SQL, PL/SQL, and AEP Query Service.
- Hands-on experience with cross-platform data validation and tracing data pipelines from Snowflake into AEP.
- Solid understanding of relational database concepts, data modeling, and schema structures (XDM Individual Profile and Experience Events).
- Proficiency in building custom actions, API integrations, and webhooks for real-time campaign triggers.
- Familiarity with JSON payloads, REST APIs, and event-driven data flows.
- Strong verbal and written communication skills., * Adobe Journey Optimizer (AJO).
- Adobe Real-Time CDP (RTCDP).
- Adobe Data Distiller.
- Adobe Experience Platform (AEP).
- Standard SQL.
- PL/SQL.
- AEP Query Service.
- Snowflake.
- JSON.
- REST APIs.
- Webhooks.
- Customer Journey Analytics (CJA).
- XDM Data Modeling.
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Prepare application
- Draft this with your agent
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