Senior Solution Engineer

Snowflake
Seoul
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Stakeholder management","Communication","Presentation","Technical consulting","Value-based selling"]

Own technical strategy and drive adoption for Snowflake’s existing enterprise accounts in South Korea, partnering closely with Account Executives. Design tailored demos and POCs, align workloads/use cases to business goals, and validate value through successful pilots. Collaborate cross-functionally and with SIs/partners to integrate solutions, translate customer feedback into product needs, and represent Snowflake through executive briefings and technical thought leadership for Manufacturing and Hi-Tech customers.

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Snowflake
Snowflake
2 months ago

Senior Solution Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Own technical strategy and drive adoption for Snowflake’s existing enterprise accounts in South Korea, partnering closely with Account Executives. Design tailored demos and POCs, align workloads/use cases to business goals, and validate value through successful pilots. Collaborate cross-functionally and with SIs/partners to integrate solutions, translate customer feedback into product needs, and represent Snowflake through executive briefings and technical thought leadership for Manufacturing and Hi-Tech customers.
Location: Seoul
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and lead technical expansion strategy across Snowflake’s existing customer portfolio in South Korea.
  • •Connect customer business goals to Snowflake AI Data Cloud workloads and use cases across business lines.
  • •Design solution demos and technical narratives tailored to customer architectures and use cases.
  • •Lead POCs/pilots by defining success criteria and execution plans, validating platform value and minimizing decision risks.
  • •Partner with Sales, Customer Success, Professional Services, Product, and partners (SIs/ISVs/cloud partners) to integrate solutions and share customer feedback for product roadmaps.

Key Requirements

  • •10+ years of experience in customer-facing solution engineering.
  • •Strong understanding of the modern data stack, including ETL/ELT, data warehouses and data lakes, data science, generative AI, and data apps.
  • •Ability to communicate and present effectively to both technical teams and executives, from whiteboard sessions to structured demos.
  • •Hands-on expertise with SQL and Spark.
  • •Business-level English speaking, reading, and writing required.
Experience:10+ yearsEnterpriseManufacturingHi-techModern data stackAIData analyticsData scienceGenerative AILakehouseSaaS
Education:
Skills:Stakeholder managementCommunicationPresentationTechnical consultingValue-based selling
Languages:English
Tech Stack:SnowflakeAI Data CloudETL/ELTData warehouseData lakeData scienceGenerative AIData appsSQLSparkPythonJavaLakehouseTableauPower BIAWSAzureGCPS3Glue

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn