Snowflake

Technical Architect

JP-Tokyo. Posted 5 months ago

The role

Technical Architects in the Services Delivery team connect business problems with Snowflake solutions. You will deploy Snowflake following best practices and provide technical guidance to customers.

What you will do

  • Act as a technical expert in all aspects of Snowflake.
  • Deploy Snowflake following best practices including knowledge sharing.
  • Demonstrate and communicate best practices for Snowflake technology implementation directly with customers.
  • Show Snowflake positioning in relation to competitors and complementary technologies.
  • Work at a deep technical level with system integrator consultants to deploy Snowflake in customer environments.
  • Provide solutions and guidance for customer-specific technical challenges.
  • Support team members with expertise improvement and knowledge sharing.
  • Collaborate with product management, engineering, and marketing to improve Snowflake products and marketing.

Required qualifications

  • 5-8 years of technical customer facing experience in post-sales (technical delivery).
  • Ability to capture customer needs and propose and drive project progress.
  • Ability to perform excellent presentations and demos to both technical and executive audiences.
  • Understanding of the complete data analytics stack and workflows from ETL to data platform design to BI and analytics tools.
  • Design and implementation skills for databases, data warehouses, and data processing.
  • Extensive practical experience with SQL and SQL analytics.
  • Experience with Python, Ruby, Perl, or Bash scripting.
  • Ability and flexibility to work on-site with customers.
  • Ability to travel if necessary.
  • Experience proposing, implementing, and utilizing AI/ML solutions to solve business problems.

Nice to have

  • Knowledge and design/implementation experience with large-scale database technologies (Redshift, Netezza, Exadata, Teradata, etc.).
  • Experience and knowledge with large-scale data processing tools (e.g., Spark, Hadoop, HBase).
  • Understanding and experience with BI or data exploration tools (e.g., Tableau, Sigma, Qlik, Omni, Looker).
  • Experience implementing ETL pipelines using custom and packaged tools.
  • Experience and knowledge designing and building systems using public clouds (AWS, Microsoft Azure, Google Cloud Platform, etc.).
  • Experience with data migration projects.
  • Experience designing/implementing AI/ML on data analytics platforms.
  • Experience proposing and driving the introduction of AI product suites including Snowflake Cortex.
  • Experience with design, PoC, and implementation of AI/ML and GenAI use cases.
  • Experience advising on MLOps, governance, monitoring, and security.

Benefits

  • Free lunch at office
  • DC (Corporate Defined Contribution Pension)
  • RSU
  • ESPP
  • Mobile phone and gym expense subsidy
  • Paid Parental Leave
  • 3 day Summer Vacation & 5 day Year-end Holidays
  • Commuting Support

About the company

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