2 months ago
Seoul, Korea, SouthSenior
Responsibilities
- Develop and lead technical expansion strategies for Snowflake’s customer portfolio in Korea.
- Connect customer business goals to workloads, use cases, and lines of business enabled by the Snowflake AI Data Cloud.
- Design and deliver demos and technical narratives optimized for customer architectures and use cases.
- Lead POCs and pilot projects, including success criteria definition and joint execution planning.
- Explain complex technical capabilities in clear business-value and ROI terms for nontechnical executives.
- Collaborate with Sales, Customer Success, Professional Services, Product, Partner, SI, ISV, and cloud-partner organizations.
- Relay customer feedback to Product and Engineering teams, especially for manufacturing and high-tech requirements.
- Represent Snowflake at customer workshops, executive briefings, industry events, and community meetings.
- Create and share presentations, reference architectures, playbooks, demos, and other technical content.
Requirements
- At least 10 years of experience in customer-facing solution engineering.
- Strong understanding of modern data stacks, ETL/ELT, data warehouses, data lakes, data science, generative AI, and data applications.
- Ability to communicate and present effectively to both technical stakeholders and executives through whiteboarding, structured presentations, and demos.
- Working-level expertise in SQL and Spark.
- Business-level English speaking, reading, and writing skills.
- Preferred experience building or operating large-scale cloud data and AI platforms.
- Preferred programming and scripting experience with Python, Java, or Spark.
- Preferred enterprise data and analytics platform sales or technical support experience.
- Preferred stakeholder management and value-based selling skills.
- A degree in computer science, engineering, mathematics, or a related field is preferred.
- Experience with lakehouse architectures, data science, AI, machine learning, or generative AI projects is a bonus.
- Experience with Tableau, Power BI, AWS, Azure, GCP, S3, Glue, SageMaker, or Azure Data Factory is a bonus.
- Experience with OLAP data modeling, enterprise data architecture, manufacturing or high-tech industries, or enterprise SaaS solution sales is a bonus.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.