Senior Marketing Systems Architect
Listed on 2026-08-30
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IT/Tech
Data Engineering, Data Warehousing
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.
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- Design and optimize Marketing Operations data architecture across Salesforce, Marketo, Snowflake, Hightouch, Clay, and the broader Mar Tech ecosystem.
- Own the Marketo-to-Snowflake data sync: audit field mappings, identify gaps and redundancies, and partner with Data Engineering to remediate.
- Redesign segmentation architecture so audience definitions are consistent, maintainable, and scalable across platforms and regions.
- Improve lead routing, audience activation, and operational workflows to strengthen lifecycle performance and marketing data governance.
- Lead Mar Tech stack health and rationalization: assess platform utilization against cost, flag consolidation opportunities, and deliver renewal-readiness recommendations.
- Partner with GTM Engineering and Data Engineering to design, validate, and implement scalable technical solutions.
- Troubleshoot complex platform, integration, and data quality issues to improve system reliability and operational performance.
- Establish technical standards and governance that support future automation and AI capabilities.
- Complete a Marketo-to-Snowflake field-level sync audit and deliver a remediation plan that strengthens data quality and platform reliability.
- Deliver a segmentation and audience architecture that is consistent and maintainable across Marketo, Snowflake, and regional teams.
- Improve lead routing, lifecycle architecture, and marketing data governance.
- Deliver a Mar Tech stack health assessment with rationalization recommendations and at least one consolidation decision executed.
- Establish technical standards that enable future automation and AI initiatives.
- 5+ years of experience in Marketing Operations, Marketing Technology, Revenue Operations, or a related technical field.
- Deep expertise with Salesforce, Marketo, and enterprise Mar Tech platforms — you've owned platform architecture, not just campaign execution.
- Experience with marketing data architecture, system integrations, APIs, SQL, and troubleshooting complex data flows.
- Experience designing segmentation, lifecycle, lead routing, and marketing automation architectures at scale.
- Hands-on experience implementing and operating a reverse ETL or CDP platform.
- Familiarity with modern data platforms (Snowflake or equivalent), data warehouse-to-MAP sync architectures, and AI-enabled marketing technologies.
- Experience partnering with GTM Engineering, Data Engineering, or Product Engineering teams to deliver technical solutions.
- Strong systems-thinking and technical problem-solving skills — you see how field-level decisions upstream cascade into downstream reporting and activation.
- Ability to diagnose and resolve complex data and integration challenges across multiple platforms simultaneously.
- Mar Tech rationalization mindset: you evaluate tools against cost, utilization, and strategic fit, not just capability.
- Strong analytical skills with a focus on scalability,…
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