About the role
We are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise. This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles. Partnering with marketing and analytics teams on data ingestion and activation is central here.
What you will do
- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross-channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross-functional teams regarding AEP best practices.
Must haves
- 5+ years of experience in Data Architecture, MarTech engineering, or Data Engineering.
- Proven hands-on expertise with the Adobe Experience Platform (AEP), specifically RTCDP and Adobe Journey Optimizer (AJO).
- Deep understanding of the Experience Data Model (XDM) and JSON-based schema design.
- Strong background in data ingestion (REST APIs, cloud storage connections, streaming endpoints) and data integration strategies.
- Experience with identity management, profile stitching, and building unified customer profiles.
- Proficiency in querying languages (SQL) and an understanding of marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.
- Upper-intermediate English level.
Nice to haves
- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Familiarity with Python, JavaScript, or general cloud infrastructure (AWS, Azure, GCP).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.
Perks
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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Hiring process timeline
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Meet our team
Once you pass the video review, grab a spot on our calendar for a technical interview.
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Welcome to AgileEngine!
Have any questions?
What is the work format and schedule?
We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.
What level of English is required?
We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.
Does AgileEngine provide work equipment?
It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.
What opportunities for professional growth do you offer?
We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:
- An annual learning and development budget
- Internal workshops, tech talks, and mentorship programs
- Opportunities to switch projects or grow into new roles over time
What does a typical team look like, and what tools do you use?
Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.
For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.
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