Responsibilities

• Design and optimize Marketing Operations data architecture across Salesforce, Marketo, Snowflake, Hightouch, Clay, and the broader MarTech 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 MarTech 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.

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 — 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.
• MarTech rationalization mindset: you evaluate tools against cost, utilization, and strategic fit, not just capability.