Senior Solution Engineer

The role

The Senior Solution Engineer acts as a strategic technical leader for existing enterprise customers in Korea, focusing on the Manufacturing and Hi-Tech sectors. This person will drive Snowflake adoption, design technical solutions, and serve as a trusted advisor to customer decision-makers.

What you will do

• Develop and lead technical expansion strategies for the Snowflake customer portfolio in Korea.
• Connect customer business goals to workloads and use cases via Snowflake AI Data Cloud.
• Design demos and technical stories optimized for customer architecture and use cases.
• Lead POC and pilot projects including defining success criteria and execution plans.
• Explain complex technical features as business value and ROI to non-technical executives.
• Collaborate with Sales, Customer Success, Professional Services, Product, and Partner organizations.
• Work with SI, ISV, and cloud partners to integrate solutions.
• Provide customer feedback to Product and Engineering to influence product roadmaps.
• Represent Snowflake at customer workshops, executive briefings, and industry events.
• Create technical content such as presentations, reference architectures, and playbooks.

Required qualifications

• 10+ years of experience in customer-facing solution engineering.
• High understanding of Modern Data Stack, ETL/ELT, data warehouse, data lake, data science, Generative AI, and Data Apps.
• Ability to communicate and present effectively to technical staff and executives.
• Hands-on proficiency in SQL and Spark.
• Business Level English speaking, reading, and writing.

Nice to have

• Experience building or operating large-scale cloud data and AI platforms.
• Programming and script development experience (Python, Java, Spark, etc).
• Sales or technical support experience for enterprise data and analytics platforms.
• Stakeholder Management and Value-Based Selling skills.
• Degree in Computer Science, Engineering, Mathematics, or a related field.
• Hands-on experience with Lakehouse architecture.
• Project experience in data science, AI, machine learning (ML), or Generative AI.
• Experience using BI tools such as Tableau or Power BI.
• Experience with AWS, Azure, or GCP cloud platforms.
• Experience using services like S3, Glue, SageMaker, or Azure Data Factory.

About the company

Snowflake is powering the era of the agentic enterprise. The company is growing fast and scaling its team to enable and accelerate growth.