AI Summary
Jobgether is seeking an AEP Data Architect for a contract position in the United States. The ideal candidate will have expertise in customer-centric data modeling and experience with Adobe Experience Platform. This role requires strong technical skills and consulting finesse.
Key Highlights
Partner with client and Adobe teams to design data solutions
Lead data discovery sessions to assess systems and processes
Configure AEP components, including data lakes and real-time customer profiles
Technical Skills Required
Benefits & Perks
3-month fixed-term contract with potential for extension
Flexible hourly rate
Fully remote position
40-hour workweek with autonomy
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AEP Data Architect, Contract in the United States.
This contract position offers an opportunity to work at the intersection of data architecture, digital marketing, and customer experience. As an AEP Data Architect, you will play a pivotal role in helping enterprise clients unify their customer data and activate meaningful marketing use cases through Adobe Experience Platform (AEP). You'll collaborate closely with technical and strategic stakeholders, guiding data discovery, schema design, and platform setup to enable real-time personalization. This role requires both technical depth and consulting finesse, ideal for professionals who are self-driven, customer-centric, and passionate about data innovation.
Accountabilities:
- Partner with client and Adobe teams to document and design data solutions aligned with business objectives
- Lead data discovery sessions to assess systems and processes, identifying key data sources and integration points
- Design customer-centric data schemas (relational, dimensional, or big data) that support unified marketing use cases
- Configure AEP components, including data lakes and real-time customer profiles, ensuring readiness for ingestion and activation
- Develop and execute advanced SQL queries and segmentation strategies for targeted marketing
- Coordinate with data engineers to test, validate, and finalize data ingestion processes
- Participate in consulting operations, including time tracking, project forecasting, and continuous process improvement
- Collaborate with peers to innovate, document best practices, and refine data architecture methodologies
- Proven expertise in customer-centric data modeling for CRM, marketing, and transactional systems
- Strong proficiency in data transformation and ETL tools (e.g., Informatica, Unifi, Snaplogic)
- Solid understanding of database design principles — relational, dimensional, columnar, and big data
- Advanced SQL and NoSQL skills, with experience in data warehousing and analytics
- Familiarity with reporting technologies such as Tableau or Power BI
- Experience gathering and documenting business requirements and use cases
- Professional software development background is an advantage
- Excellent communication and organizational skills with the ability to manage multiple client projects simultaneously
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field
- Self-motivated, proactive, and able to thrive in a consulting environment
- 3-month fixed-term contract, with potential for extension based on performance and project needs
- Flexible hourly rate, negotiable based on experience and level
- 40-hour workweek with autonomy to structure your schedule efficiently
- Fully remote position, enabling collaboration from anywhere in the U.S
- Opportunity to work on global enterprise projects in a fast-evolving MarTech ecosystem
- Inclusive and supportive culture that values individuality, innovation, and professional growth
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!