Senior Marketing Systems Architect (MarTech)

Location: Hybrid in Menlo Park, California or Dublin, California, United States

Salary: $158,000–$206,800 per year

Company

Snowflake provides a data platform and is building marketing systems to support its global go-to-market strategy and AI-powered operations.

What you will do

• Design and optimize Marketing Operations data architecture across Salesforce, Marketo, Snowflake, Hightouch, Clay, and the broader MarTech ecosystem.
• Own the Marketo-to-Snowflake data synchronization, including field-mapping audits, gap analysis, and remediation with Data Engineering.
• Redesign segmentation, audience activation, lead routing, lifecycle architecture, and operational workflows across platforms and regions.
• Lead MarTech stack health and rationalization assessments, including utilization, cost, consolidation, and renewal-readiness recommendations.
• Partner with GTM Engineering and Data Engineering to implement scalable technical solutions and troubleshoot complex integration and data-quality issues.
• Establish technical standards and governance that support future automation and AI initiatives.

Requirements

• 5+ years of experience in Marketing Operations, Marketing Technology, Revenue Operations, or a related technical field.
• Deep expertise with Salesforce, Marketo, and enterprise MarTech platforms, including ownership of platform architecture.
• Experience with marketing data architecture, system integrations, APIs, SQL, and complex data-flow troubleshooting.
• Experience designing segmentation, lifecycle, lead-routing, and marketing-automation architectures at scale.
• Hands-on experience implementing and operating a reverse ETL or CDP platform.
• Experience with modern data platforms, warehouse-to-MAP synchronization architectures, AI-enabled marketing technologies, and cross-functional engineering partnerships.

Culture & Benefits

• Work in a fast-moving environment focused on experimentation and continuous improvement.
• Collaborate with Marketing Operations, GTM Engineering, Data Engineering, and Product Engineering.
• Contribute to the development of AI-native ways of working and future marketing automation capabilities.
• Operate in a role emphasizing scalability, reliability, data governance, and strategic technology decisions.