Snowflake2 days ago
Senior Marketing Systems Architect
Salary not specified
MARKET
15,349 ₽median for this role
Solution Architect · 48 jobs with disclosed pay
5,600half of the offers: 14,999–18,25823,987
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Полная занятостьУдалёнка
Responsibilities
- 01Design and optimize Marketing Operations data architecture across Salesforce, Marketo, Snowflake, Hightouch, Clay, and the broader MarTech ecosystem
- 02Own the Marketo-to-Snowflake data sync: audit field mappings, identify gaps and redundancies, and partner with Data Engineering to remediate
- 03Redesign segmentation architecture so audience definitions are consistent, maintainable, and scalable across platforms and regions
- 04Improve lead routing, audience activation, and operational workflows to strengthen lifecycle performance and marketing data governance
- 05Lead MarTech stack health and rationalization: assess platform utilization against cost, flag consolidation opportunities, and deliver renewal-readiness recommendations
- 06Partner with GTM Engineering and Data Engineering to design, validate, and implement scalable technical solutions
- 07Troubleshoot complex platform, integration, and data quality issues to improve system reliability and operational performance
- 08Establish technical standards and governance that support future automation and AI capabilities
Requirements
- 015+ years of experience in Marketing Operations, Marketing Technology, Revenue Operations, or a related technical field
- 02Deep expertise with Salesforce, Marketo, and enterprise MarTech platforms — you've owned platform architecture, not just campaign execution
- 03Experience with marketing data architecture, system integrations, APIs, SQL, and troubleshooting complex data flows
- 04Experience designing segmentation, lifecycle, lead routing, and marketing automation architectures at scale
- 05Hands-on experience implementing and operating a reverse ETL or CDP platform
- 06Familiarity with modern data platforms (Snowflake or equivalent), data warehouse-to-MAP sync architectures, and AI-enabled marketing technologies
- 07Experience partnering with GTM Engineering, Data Engineering, or Product Engineering teams to deliver technical solutions
- 08Strong systems-thinking and technical problem-solving skills — you see how field-level decisions upstream cascade into downstream reporting and activation
- 09Ability to diagnose and resolve complex data and integration challenges across multiple platforms simultaneously
- 10MarTech rationalization mindset: you evaluate tools against cost, utilization, and strategic fit, not just capability
- 11Strong analytical skills with a focus on scalability, reliability, and continuous improvement
- 12Ability to translate business requirements into scalable technical solutions
- 13Excellent cross-functional collaboration, communication, and project management skills