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Type Contract / freelance (fixed-term) Duration ~June 29 to December 18, 2026 (about 6 months) Hours ~15 hrs/week on average across the engagement (~376 hours total) Location Remote (U.S.

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As of Jul 13, 2026, the average hourly pay for average freelance in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
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Data & MarTech Architect - Contract / Freelance (Adobe Experience Platform / RTCDP)

Data & MarTech Architect - Contract / Freelance (Adobe Experience Platform / RTCDP)

CourtAvenue

Remote

$125 - $140/hr

Contractor

Posted 21 days ago

Job description

Engagement snapshot
Heads up on schedule: this is a focused part-time engagement, roughly 2 days/week across about six months, well suited to an independent architect running it alongside other work. It starts the week of June 29, so timing is tight.     Type Contract / freelance (fixed-term) Duration ~June 29 to December 18, 2026 (about 6 months) Hours ~15 hrs/week on average across the engagement (~376 hours total)  Location Remote (U.S.). Candidates in TX, CA, IL, MN, and OH preferred. Rate $125 to $140/hour, based on experience Engagement Supporting GTX Solutions (a CourtAvenue Company) on an enterprise B2B marketing transformation: a migration to Adobe Journey Optimizer (AJO) and Adobe Experience Platform (AEP)
Is this you?

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
- Lead the technical architecture for the client's B2B marketing stack in AEP: XDM schema design, dataset configuration, ingestion pipelines, and identity graph strategy.
- 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:

- 8+ years in data architecture, MarTech architecture, systems integration, or enterprise data engineering.
- 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 resume.**
- 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:

- Adobe RTCDP configuration (merge rules, identity namespaces, audience activation).
- 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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