Senior Solution Engineer
Leads technical expansion with existing enterprise customers in South Korea, designing solutions, demos, and POCs around data, analytics, and AI workloads. Requires 10+ years of customer-facing solution engineering experience, strong SQL and Spark expertise, executive communication skills, and business-level English.
About the job
Responsibilities
Drive Adoption in Existing Accounts
- Develop and lead technical expansion strategies for Snowflake’s customer portfolio in South Korea.
- Understand customer business goals and connect them to workloads, use cases, and lines of business enabled by the Snowflake AI Data Cloud.
Solution Design, Demos, and POCs
- Design and deliver demos and technical stories optimized for customer architectures and use cases.
- Lead POCs and pilot projects, including defining success criteria and creating joint execution plans to validate platform value and minimize decision risk.
- Explain complex technical capabilities in terms of clear business value and ROI for both technical stakeholders and nontechnical executives.
Cross-Functional and Partner Collaboration
- Collaborate closely with Sales, Customer Success, Professional Services, Product, and Partner organizations to support customer success.
- Work with system integrators, ISVs, and cloud partners to integrate solutions suited to customer architectures.
- Communicate field customer feedback to Product and Engineering, particularly to help incorporate manufacturing and high-tech customer needs into the product roadmap.
Thought Leadership and Evangelism
- Represent Snowflake at customer workshops, executive briefings, industry events, and community meetings.
- Create and share technical content, including presentations, reference architectures, playbooks, and demos, to support market expansion among manufacturing and high-tech companies.
Requirements
- 10+ years of experience in customer-facing solution engineering.
- Strong understanding of the modern data stack, ETL/ELT, data warehouses and data lakes, data science, generative AI, and data applications.
- Ability to communicate and present effectively to both technical teams and executives, from impromptu whiteboard sessions to structured presentations and demos.
- Practical expertise with SQL and Spark.
- Business-level English speaking, reading, and writing.
Nice-to-Haves
- Experience building or operating large-scale cloud data and AI platforms.
- Programming and scripting experience with Python, Java, or Spark.
- Sales or technical-support experience with enterprise data and analytics platforms.
- Strong stakeholder management and value-based selling skills.
- Degree in computer science, engineering, mathematics, or a related field.
- Practical experience with lakehouse architectures.
- Experience with data science, AI, machine learning, or generative AI projects.
- Experience with BI tools such as Tableau or Power BI.
- Experience with AWS, Azure, or Google Cloud platforms.
- Experience with services such as S3, Glue, SageMaker, or Azure Data Factory.
- Experience with OLAP data modeling and enterprise data architecture.
- Manufacturing or high-tech industry experience, including experience at manufacturers or related solution vendors.
- Enterprise SaaS solution sales experience.
Skills
SQL, Spark, Python, Java, ETL, ELT, Generative AI, Machine Learning, Data Warehousing, Data Lakes, Lakehouse Architecture, Tableau, Power BI, AWS, Microsoft Azure
Similar jobs
Sales Engineering jobs
Carta
London, United Kingdom
Partner with go-to-market teams to scope and demonstrate fund administration solutions for investment firms. The role requires a qualified accountant with 7+ years of experience, strong knowledge of private capital fund operations, and excellent stakeholder communication skills.
Cloudflare
Dubai, United Arab Emirates
Customer Engineer serving Istanbul-based enterprise customers, leading technical validation, architecture, onboarding oversight, adoption, and expansion. Requires customer-facing technical experience, strong enterprise networking and security architecture skills, Turkish and English fluency, and commercial accountability.
Cloudflare
Dubai, United Arab Emirates
Advises enterprise customers on Cloudflare architectures, technical validation, onboarding, adoption, and expansion while partnering with sales and carrying revenue accountability. Requires customer-facing architecture experience, strong English and Arabic communication, and broad internet, security, performance, coding, and cloud-platform expertise.
Cloudflare
Dubai, United Arab Emirates
Senior Customer Engineer serving UAE enterprise customers through technical discovery, architecture, onboarding oversight, adoption, and expansion. Requires customer-facing technical experience, enterprise network and security architecture expertise, commercial acumen, and strong communication skills.
Chainguard
United States
Leads an Enterprise Sales Engineering team supporting public-sector and Southeast-region customers, while shaping technical sales strategy and customer evaluations. Requires extensive Enterprise Sales Engineering experience, including leadership, cloud and container technologies, security expertise, and sales methodology knowledge.