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Partner Solutions Engineer - VAR

Snowflake Inc.· Solution Engineering
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FR-ParisFull-timePosted 3d ago

About the role

Partner Solutions Engineer focused on VAR/Reseller partnerships in the EMEA region, driving partner enablement, joint offerings, and revenue growth for Snowflake's AI Data Cloud through VAR and Reseller channels.

Responsibilities

  • Help Solution Providers/Practice Leads with the technical strategies that enable them to sell their offerings on Snowflake.
  • Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging.
  • Strong understanding of how VAR and Reseller partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services.
  • Help develop and launch joint differentiated solution offerings with VAR, Reseller Partners, and System Integrators taking part in the Resell motion.
  • Engage in conversations with other technologists, providing presentations at the C-level.
  • Act as a key technical resource during the sales cycle, enabling partners to effectively position and sell Snowflake solutions.
  • Create and develop technical champions in your accounts to drive deals and achieve a technical win

Qualifications

  • 5+ years of industry experience within Partnership/Alliances Technical Pre-sales in the EMEA VAR and Reseller ecosystem, with a focus on selling business solutions and outcomes.
  • Strong architectural expertise, with the ability to provide upskilling workshops to Partner Solution Architects on various areas of the Snowflake Data Platform.
  • Experience in developing and deploying data pipelines with different data platforms. SQL and PySpark are basic requirements, with experience in technologies such as Spark, Scala, Kafka a plus, and Apache NiFi a major plus.
  • Proficiency with at least one public cloud platform (Azure, AWS or Google Cloud) and experience with CI/CD tools such as Jenkins, GitHub Actions or equivalents, and Cloud integration technologies such as Fivetran, Azure Data Factory or AWS Glue or equivalents.
  • Developing and deploying Machine Learning models through the full Data Science life cycle is a plus.
  • Experience working with cross-functional teams in an international environment.
  • MS/PhD in Computer Science or related majors, or proven professional experience in the data and AI field in technical roles.
  • Ability to travel up to 25% of the time

Skills

Required:Partnership/Alliances Pre-salesTechnical strategy for partnersData pipelinesCloud platformsCI/CD tools
Nice to have:Machine Learning lifecycle
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Snowflake Inc.

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Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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