Enterprise Architect
Listed on 2026-03-07
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IT/Tech
IT Support, Data Security
We have an immediate Openings with Our Direct Client for a Long-term contract position
Location:
Pleasanton CA – ONSITE
Duration – 12 months
Job Description:
Principal Enterprise Architecture- OMNI – Marketing Contingent Staff | Enterprise Architecture | CTO Organization
We are looking for a Enterprise Architect – Marketing to join our Enterprise Architecture team as a contingent staff member. This role will support the design, assessment, and evolution of our Mar Tech ecosystem in alignment with our Connected Commerce strategy.
The ideal candidate brings deep experience in composable Mar Tech architecture, AI-driven marketing capabilities, and the ability to integrate seamlessly into an existing team and deliver from day one.
Key Responsibilities- Assess the current Mar Tech landscape and identify gaps, redundancies, and modernization opportunities across CDP, CRM, Loyalty, Campaign Orchestration, and Paid Media platforms.
- Develop architecture blueprints and capability roadmaps that align Mar Tech investments with business outcomes.
- Provide guidance on composable Mar Tech patterns, API-first integrations, and data flow design across marketing platforms.
- Advise on AI-powered marketing use cases including predictive segmentation, next-best-action, personalization, and content automation.
- Partner with Marketing, Engineering, and Data teams to evaluate vendors, define integration patterns, and support platform decisions.
- Contribute to architecture reviews and governance for Mar Tech investments and platform consolidations.
- Produce clear documentation — architecture diagrams, decision frameworks, and recommendations — aligned to team standards.
- 10+ years of experience in Mar Tech or digital marketing architecture.
Hands-on experience across:
- Customer Data Platforms (CDPs) and Identity Resolution
- CRM, Loyalty, and Lifecycle Marketing platforms
- Campaign Orchestration tools (e.g., Salesforce Marketing Cloud, Adobe, Braze, Zeta)
- Paid Media ecosystems — DSPs, Clean Rooms, Audience Management, and Attribution
- Content Management, DAM, and Content Supply Chain platforms
- Strong knowledge of cloud-native, API-first, and event-driven integration patterns.
- Experience with AI/ML applied to marketing — personalization, propensity modeling, and audience intelligence.
- Retail, CPG, or DTC brand experience strongly preferred.
- Familiarity with Agentic AI or LLM applications in marketing automation or customer engagement.
- Experience with marketing measurement frameworks (MMM, MTA, incrementality testing).
- Exposure to composable Mar Tech and MACH architecture principles.
- Able to integrate quickly into an existing team and contribute without significant ramp-up.
- Strong communication skills — able to translate complex Mar Tech concepts into business value for executive audiences.
- Comfortable working in ambiguous, fast-moving environments with multiple stakeholders.
- Collaborative team player who can operate within established processes and governance frameworks.
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