You are a hands-on data or MarTech architect who works on a contract basis and has built on a modern CDP. You can define schemas, design ingestion and identity strategy, and govern the integrations between enterprise data sources and marketing activation, and you document as you go. You are comfortable being the technical lead in a multi-vendor program, speaking fluently to both data engineers and senior marketing stakeholders.
What you'll do
- Define and govern the data integration architecture between upstream enterprise sources (CRM, order management, customer service, product usage) and AEP.
- Architect and oversee RTCDP configuration: profile merge rules, identity namespaces, consent management, and destination activation.
- Partner with the technical build team on AJO configuration (channel surfaces, data source connections, event schema).
- Provide technical oversight for the legacy-platform migration to AJO/AEP: data mapping, suppression logic translation, and historical migration planning.
- Define MarTech integration standards and data contracts between AEP and downstream channels (email, SMS, paid media, sales enablement).
- Collaborate with the client's data engineering and architecture teams on governance, security, and compliance alignment.
- Document architecture decisions, data flows, integration specs, and platform configurations.
- Identify and resolve data quality, latency, and completeness issues affecting activation and personalization.
- Support the Analytics & Measurement Lead with AEP Query Service, data lake access, and reporting datasets.
What you need
Required:
- Hands-on AEP experience: XDM schema design, batch and streaming ingestion, Profile Service configuration. **Adobe is preferred, but we are open to strong CDP architects from comparable platforms (Segment, Tealium, Salesforce Data Cloud, Treasure Data) who can ramp on AEP; this skill set is scarce and we would rather find the right architect than the perfect résumé.**
- Strong CDP architecture concepts: identity resolution and real-time profile activation.
- SQL proficiency; familiarity with Python, pipeline tools (Kafka, Azure Data Factory), or a cloud platform (Azure, AWS, GCP).
- Experience designing and governing integrations across enterprise CRM, data warehouse, and marketing activation platforms.
- Strong data governance, data quality management, consent frameworks, and enterprise security.
- Excellent documentation: technical design specs, data dictionaries, and integration diagrams.
- Strong communication across technical engineering teams and senior marketing stakeholders.
Preferred Qualifications:
- Experience supporting a legacy marketing automation migration.
- AJO technical configuration (API-triggered journeys, event schema).
- Complex, multi-vendor program environments with shared data responsibilities.
- MarTech consulting, systems integration, or digital transformation advisory background.
- AEP certifications (AEP Architect, AEP Business Practitioner, or equivalent).
- Enterprise data experience in telco, technology, or financial services.
More about GTX Solutions
GTX Solutions, a CourtAvenue Company, is a boutique consulting firm focused on helping brands unlock the power of their customer data. We specialize in Customer Data Platforms (CDPs), real-time activation, personalization, and MarTech integrations. Our team blends strategic insight with technical expertise to drive measurable business outcomes for high-growth companies and global enterprises alike.
GTX Solutions is currently serving as the data and activation execution partner on a large-scale B2B marketing transformation engagement for a major enterprise client. This program is migrating B2B marketing programs from a legacy marketing automation platform to Adobe Journey Optimizer (AJO) and Adobe Experience Platform (AEP), in partnership with a technical build partner, engagement lead, creative agency, and Adobe Professional Services.
The Data & MarTech Architect is the technical lead for the engagement, responsible for defining and governing the data architecture, integration patterns, and platform configurations that underpin the client's B2B marketing transformation.
How to apply
Apply through the link and complete the short set of application questions (availability, start date, target rate, and platform experience). Because this engagement has a hard timeline and starts the week of June 29, availability is our first screen, so please answer the schedule questions honestly; it helps us move fast for candidates who are the right fit.
Skills Required
- Availability to start the week of June 29 and commit ~15 hours/week (~2 days/week) through mid-December 2026
- 8+ years in data architecture, MarTech architecture, systems integration, or enterprise data engineering
- Hands-on CDP experience; AEP experience preferred (XDM schema design, batch and streaming ingestion, Profile Service configuration)
- Strong CDP architecture concepts including identity resolution and real-time profile activation
- SQL proficiency
- Familiarity with Python, pipeline tools (Kafka, Azure Data Factory), or cloud platforms (Azure, AWS, GCP)
- Experience designing and governing integrations across enterprise CRM, data warehouse, and marketing activation platforms
- Strong data governance, data quality management, consent frameworks, and enterprise security experience
- Excellent documentation skills: technical design specs, data dictionaries, and integration diagrams
- Strong communication with technical engineering teams and senior marketing stakeholders
- Adobe RTCDP configuration experience (merge rules, identity namespaces, audience activation)
- Experience supporting legacy marketing automation migrations
- AJO technical configuration experience (API-triggered journeys, event schema)
- Experience in complex, multi-vendor program environments
- AEP certifications (AEP Architect, AEP Business Practitioner, or equivalent)
- Enterprise data experience in telco, technology, or financial services
What We Do
CourtAvenue is an Operating Network of digital transformation companies that utilizes data, machine learning and emerging technologies to build powerful relationships between brands and consumers.
.png)
