Data Architect (Adobe AEP)
At a glance
Mid-level Data Architecture & Governance role at TechBiz Global GmbH. Remote, Pakistan · full-time.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the Adobe Experience Platform architecture, including XDM structures and how identities are handled
- Plan and supervise data intake through batch jobs, streaming, and APIs
- Protect data quality and governance while designing for growth across datasets
- Set rules for retention, privacy, and consent, then document reusable architecture standards
- Serve as the subject matter expert in workshops and solution design sessions
What you bring
- You have proven ability to design data architecture in Adobe Experience Platform
- You bring strong background in data modeling, governance, and lineage
- You can work with cloud data platforms such as AWS, Azure, or GCP
- You understand XDM schemas, APIs, and identity services
Who this fits
This remote, mid-level role is based in Islamabad, Pakistan. It suits someone who can lead architecture decisions and contribute as a subject matter expert in design discussions.
From the employer
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Data Architect (Adobe AEP) to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Responsibilities
● Define overall AEP data architecture, schemas (XDM), and identity strategy.
● Design and oversee ingestion pipelines (batch, streaming, APIs).
● Ensure data quality, scalability, and governance across datasets.
● Define retention, privacy, and consent management frameworks.
● Document architecture and provide standards for long-term use.
● Act as SME during workshops and solution design sessions.
Skills & Qualifications
● Proven expertise in Adobe AEP data architecture.
● Strong experience in data modeling, governance, and lineage.
● Proficiency with cloud data platforms (AWS, Azure, GCP).
● Knowledge of XDM schemas, APIs, and identity services.
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