> Markdown version of [/jobs/ext/3758744-it-consultant-adobe-aem-cq-aem-6-0](https://www.wearedevelopers.com/jobs/ext/3758744-it-consultant-adobe-aem-cq-aem-6-0). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT - Consultant | Adobe AEM CQ | AEM 6.0 - **Company:** Cloudspace LLC - **Location:** Richardson, TX, United States - **Experience:** Expert - **Salary:** $156,000.0 - $166,400.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Data Analysis, Information Engineering, Data Integration, Software Debugging, Programming Tools, Document Object Model, JQuery, SQL Databases, Data Ingestion, Adobe Target, Adobe - **Published:** October 15, 2026 - **Apply:** https://www.careerjet.com/jobad/us189877c3768c87e538c28fdc485f7cf8 ## About the Role 5 years of experience in digital personalization or experimentation, with handson Adobe Target experience. Working experience building journeys or campaigns in Adobe Journey Optimizer. Strong JavaScript and jQuery skills, including DOM manipulation and debugging in browser developer tools. Proficient SQL for data analysis and validation. Demonstrated expertise in Customer Journey Analytics reporting data views, calculated metrics, segments, and Analysis Workspace. Solid understanding of AEP fundamentals XDM schemas, datasets, identity namespaces, RealTime Customer Profile, audiences, and data ingestion. ## Description Plan, build, and QA personalization activities in Adobe Target, including AB and multivariate tests, Experience Targeting, and Automated Personalization. Design and deliver crosschannel journeys and campaigns in AJO using AEP profiles, audiences, and events. Write custom JavaScript and jQuery for Target offers and pagelevel experience modifications. Build and maintain CJA data views, segments, and Workspace reports that measure experiment and journey performance. Write SQL to explore, validate, and troubleshoot data across AEP datasets and Query Service. Partner with data engineering on data integration into AEP schemas, datasets, identity, and ingestion via Web SDK, batch, and streaming. Translate business goals into testing roadmaps, hypotheses, and success metrics present results and recommendations to stakeholders. Maintain documentation, naming conventions, and QA checklists for activities, audiences, and journeys.