Technical Architect

Snowflake Snowflake · Data AI · South Korea, South Korea · Remote · Professional Services

This role is for a Technical Architect at Snowflake, focusing on the technical deployments of Snowflake to customers. The architect will work directly with customers and system integrators, providing technical expertise, consultative assistance on architecture and implementation, and guidance on resolving customer-specific technical challenges. The role requires a broad range of skills including data architecture, ETL, security, performance analysis, and analytics, with a strong emphasis on customer-facing communication and hands-on technical skills. While the company is powering the era of the agentic enterprise and mentions AI as a collaborator, the core responsibilities of this role are centered around deploying and architecting solutions using Snowflake's platform, rather than directly building or researching AI models.

What you'd actually do

  1. Be a technical expert on all aspects of Snowflake
  2. Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
  3. Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology
  4. Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
  5. Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments

Skills

Required

  • Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
  • Extensive hands-on expertise with SQL and SQL analytics
  • Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.)
  • Development experience with C/C++ or Java or Script like Python, Ruby
  • Ability and flexibility to travel to work with customers on-site, up to 75% travel
  • Fluent in Korean and business level in English is required.

Nice to have

  • Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
  • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.)
  • Experience with GenerativeAI, LLMs, and Vector Databases.
  • Have a strong understanding of the GenerativeAI landscape, its use, and application.
  • Experience delivering data migration projects

What the JD emphasized

  • technical deployments of Snowflake to our customers
  • technical expertise
  • technical skills
  • technical challenges
  • technical level
  • technical and executive audiences
  • technical role