Marketing Systems Architect
US$158,000 – US$207,000 / yr base salary
Posted 30 Sep 2026
Advertised as “Senior Marketing Systems Architect”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$158,000 – US$207,000 / yr |
|---|
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
About the Role
Snowflake's marketing technology ecosystem powers our global go-to-market strategy. The Senior Marketing Systems Architect is responsible for the data and systems foundation of Marketing Operations: designing and optimizing our data architecture, ensuring integrations are reliable and scalable, and readying the ecosystem for the next generation of AI-powered marketing. This is a hands-on technical role focused on solving complex systems challenges.
Key Responsibilities
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Design and optimize Marketing Operations data architecture across Salesforce, Marketo, Snowflake, Hightouch, Clay, and the broader MarTech ecosystem.
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Own the Marketo-to-Snowflake data sync: audit field mappings, identify gaps and redundancies, and partner with Data Engineering to remediate.
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Redesign segmentation architecture so audience definitions are consistent, maintainable, and scalable across platforms and regions.
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Improve lead routing, audience activation, and operational workflows to strengthen lifecycle performance and marketing data governance.
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Lead MarTech stack health and rationalization: assess platform utilization against cost, flag consolidation opportunities, and deliver renewal-readiness recommendations.
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Partner with GTM Engineering and Data Engineering to design, validate, and implement scalable technical solutions.
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Troubleshoot complex platform, integration, and data quality issues to improve system reliability and operational performance.
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Establish technical standards and governance that support future automation and AI capabilities.
What does success look like?
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Complete a Marketo-to-Snowflake field-level sync audit and deliver a remediation plan that strengthens data quality and platform reliability.
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Deliver a segmentation and audience architecture that is consistent and maintainable across Marketo, Snowflake, and regional teams.