Principal Enterprise Solutions Architect MarTech- OMNI – Marketing

MetaOption, LLC • San Francisco, CA

7d • Hybrid

About The Position

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 MarTech ecosystem in alignment with our Connected Commerce strategy.
The ideal candidate brings deep experience in composable MarTech architecture, AI-driven marketing capabilities, and the ability to integrate seamlessly into an existing team and deliver from day one.

Requirements

• 10+ years of experience in MarTech 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.

Nice To Haves

• 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 MarTech and MACH architecture principles.

Responsibilities

• Assess the current MarTech 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 MarTech investments with business outcomes.
• Provide guidance on composable MarTech 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 MarTech investments and platform consolidations.
• Produce clea documentation — architecture diagrams, decision frameworks, and recommendations — aligned to team standards.

What This Job Offers

• Career Level: Principal
• Education Level: No Education Listed