Snowflake

Senior Partner Solutions Engineer

Snowflake

full-time

Posted on:

Origin:  • 🇰🇷 South Korea

Visit company website
AI Apply
Manual Apply

Job Level

Senior

Tech Stack

AWSAzureCloudGoInformaticaKafkaSpark

About the role

  • Collaborate with partners to develop Snowflake solutions in customer engagements, creating assets, demos, hands-on POCs, and pitching Snowflake solutions.
  • Help Solution Providers/Practice Leads with technical strategies to enable selling offerings on Snowflake.
  • Keep partners up to date on key Snowflake product updates and future roadmaps.
  • Run technical enablement programs, best practices, and solution design workshops for partners.
  • Share customer success stories and case studies; provide forward strategic thinking and business value messaging.
  • Understand partner revenue drivers and industry priorities to influence where Snowflake products have impact.
  • Engage with local and global teams to support partners.
  • Present to technical and executive audiences, using whiteboarding, presentations, and demos.
  • Occasional travel to partner sites or industry events within Korea.

Requirements

  • Have a total of 10+ years of relevant experience.
  • Experience working with System Integrators (SIs) in Korea.
  • Develop data domain thought leadership within the partner community.
  • Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community based in Korea.
  • Presales or hands-on experience with Data Warehouse, Data Lake or Lakehouse platform.
  • Presales or hands-on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems.
  • Experience with our partner integration ecosystem like Alation, FiveTran, Informatica, dbtCloud.
  • Strong experience with major cloud platforms and tooling, especially Azure or AWS, or Google Cloud.
  • Presales or hands-on experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda.
  • Experience in the AI/ML domain is a plus.
  • Excellent verbal and written communications skills in Korean and English.
  • Proven track record of successfully working with leading partners and creating technical champions.
  • Ability to present to technical and executive (C-level) audiences.
  • Based in Seoul; occasional travel to partner sites or industry events within Korea may be required.