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Snowflake is seeking a Senior Marketing Systems Architect to design and optimize the data and systems foundation of Marketing Operations. This is a hands-on technical role focused on solving complex systems challenges across the global go-to-market strategy.
Key responsibilities include designing and optimizing the marketing operations data architecture across Salesforce, Marketo, Snowflake, Hightouch, Clay, and the broader MarTech ecosystem. You will own the Marketo-to-Snowflake data sync, auditing field mappings, identifying gaps and redundancies, and partnering with Data Engineering to remediate issues. The role involves redesigning segmentation architecture to ensure audience definitions are consistent, maintainable, and scalable across platforms and regions.
You will improve lead routing, audience activation, and operational workflows to strengthen lifecycle performance and marketing data governance. You'll lead MarTech stack health and rationalization efforts, assessing platform utilization against cost, flagging consolidation opportunities, and delivering renewal-readiness recommendations. Collaboration with GTM Engineering and Data Engineering teams is essential to design, validate, and implement scalable technical solutions.
Success metrics include completing a comprehensive Marketo-to-Snowflake field-level sync audit with a remediation plan, delivering a consistent segmentation and audience architecture across platforms, improving lead routing and lifecycle architecture, providing a MarTech stack health assessment with rationalization recommendations, and establishing technical standards that enable future automation and AI initiatives.
Required qualifications include 5+ years in Marketing Operations, Marketing Technology, Revenue Operations, or related technical field. Deep expertise with Salesforce, Marketo, and enterprise MarTech platforms is essential—you should have owned platform architecture, not just campaign execution. You need hands-on experience with marketing data architecture, system integrations, APIs, SQL, and troubleshooting complex data flows. Experience designing segmentation, lifecycle, and lead routing architectures at scale is required, along with hands-on implementation of reverse ETL or CDP platforms. Familiarity with modern data platforms like Snowflake, data warehouse-to-MAP sync architectures, and AI-enabled marketing technologies is necessary.
Core competencies include strong systems-thinking and technical problem-solving skills, ability to diagnose and resolve complex data and integration challenges across multiple platforms, MarTech rationalization mindset, strong analytical skills focused on scalability and reliability, and excellent cross-functional collaboration and communication abilities.
