Senior Solution Engineer

About the Position

Senior Solution Engineer

Seoul, South Korea

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Position Overview

The Senior Solution Engineer will serve as a strategic technical leader for existing enterprise customers in South Korea, focusing on the manufacturing and Hi-Tech sectors. This role involves working closely with Account Executives to increase Snowflake adoption, expand workloads, and support growth across various business lines. As a Trusted Advisor, you will guide clients in leveraging Snowflake as the core platform for their data, analytics, and AI strategies. This is a customer-facing position requiring deep technical expertise, industry understanding, and the ability to design and deliver impactful architectures.

Responsibilities

• Drive Adoption in Existing Accounts

  • Develop and lead technical expansion strategies for Snowflake's customer portfolio in South Korea.
  • Connect clients' business goals with workloads, use cases, and business lines achievable through Snowflake AI Data Cloud.

• Solution Design, Demos & POCs

  • Design and deliver demos and technical stories optimized for clients' architectures and use cases.
  • Lead POCs and pilot projects to validate platform value and minimize decision risks, including defining success criteria and co-execution plans.
  • Translate complex technical capabilities into clear business value and ROI perspectives for non-technical executives.

• Cross-Functional & Partner Collaboration

  • Collaborate closely with Sales, Customer Success, Professional Services, Product, and Partner organizations to support client success.
  • Work with System Integrators, ISVs, and cloud partners to integrate suitable solutions into client architectures.
  • Relay client feedback from the field to Product and Engineering to ensure manufacturing and Hi-Tech needs are reflected in the product roadmap.

• Thought Leadership & Evangelism

  • Represent Snowflake at client workshops, executive briefings, industry events, and community gatherings.
  • Create and share technical content such as presentations, reference architectures, playbooks, and demos to support market expansion in manufacturing and Hi-Tech industries.

Requirements

• Minimum Requirements

  • Over 10 years of experience in customer-facing solution engineering.
  • Strong understanding of modern data stacks, ETL/ELT, data warehouses and lakes, data science, generative AI, and data applications.
  • Ability to communicate and present effectively to both technical staff and executives, from impromptu whiteboard sessions to structured presentations and demos.
  • Proficiency in SQL and Spark.
  • Business Level English speaking, reading, and writing required.

• Strongly Desired

  • Experience in deploying or operating large-scale cloud data and AI platforms.
  • Programming and scripting experience (Python, Java, Spark, etc.).
  • Sales or technical support experience with enterprise data and analytics platforms.
  • Excellent stakeholder management and value-based selling skills.
  • Degree in computer science, engineering, mathematics, or related fields.

• Added Bonus For

  • Experience with Lakehouse architecture.
  • Experience with data science, AI, machine learning (ML), and generative AI projects.
  • Experience with BI tools like Tableau and Power BI.
  • Experience with AWS, Azure, or GCP cloud platforms.
  • Experience with related services like S3, Glue, SageMaker, Azure Data Factory, etc.
  • Experience with OLAP data modeling and enterprise data architecture.
  • Experience in the manufacturing and Hi-Tech industries (including experience with manufacturers or related solution vendors).
  • Experience in sales of enterprise SaaS solutions.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com