AEP Engineer

About Us:

AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact.

With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed.

Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results.

About the Role:

Job Title: Senior AEP Engineer

Job Location : Fully Remote

Role Type: Contract

Job Summary:

Adobe Experience Platform (AEP) Engineer to lead the end-to-end implementation of Federated Audience Composition (FAC) from the ground up.

The engineer will be responsible for establishing the FAC foundation, including federated data source connectivity, data modeling, audience composition design, enrichment patterns, validation, operationalization, and integration with the broader AEP and Real-Time CDP ecosystem.

In addition to FAC, the role requires strong hands-on expertise in AEP data ingestion, XDM modeling, datasets, identity, Real-Time Customer Profile, SQL, Query Service/Data Distiller, segmentation, and activation.

Responsibilities

• Develop and implement the overall FAC implementation approach, working with enterprise architects, data engineering teams, marketing teams, and data owners to define how federated enterprise data will be used for audience creation and enrichment.
• Establish and configure FAC connectivity to supported enterprise data platform (Databricks), coordinating authentication, connectivity, security, access, and data availability requirements with data engineering teams.
• Analyze enterprise source data and design the federated data models and relationships required to support marketing audience and enrichment use cases.
• Develop reusable audience composition patterns for business requirements such as customer selection, filtering, exclusion, enrichment, ranking, splitting, and audience publishing.
• Develop data validation and reconciliation processes to verify source data, audience counts, transformation logic, enrichment results, and published audiences throughout the federated audience lifecycle.