Technical Architect

Snowflake
Tokyo
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5-8 yearsSkills: []

Post-sales technical delivery expert who connects customer business problems with Snowflake solutions, communicates value to technical and executive audiences, and leads implementation with a focus on best practices, knowledge sharing, and successful deployment.

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FursaFursa
Snowflake
Snowflake
2 months ago

Technical Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Post-sales technical delivery expert who connects customer business problems with Snowflake solutions, communicates value to technical and executive audiences, and leads implementation with a focus on best practices, knowledge sharing, and successful deployment.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Act as a technical expert across Snowflake in all aspects
  • •Deploy Snowflake for customers following best practices and share knowledge
  • •Work directly with customers to demonstrate and validate Snowflake best practices
  • •Understand competitive landscape and position Snowflake accordingly with partners and vendors
  • •Collaborate with system integrators to position and deploy Snowflake successfully in customer environments
Travel: Low travel

Pay and Benefits

Perks:Meal AllowanceRsusEsppCommuting SupportParental Leave

Key Requirements

  • •5-8 years of post-sales (technical delivery) experience
  • •Strong SQL and SQL analytics expertise
  • •Experience designing ETL and data platforms, including BI/workflow stacks
  • •Scripting experience in Python, Ruby, Perl, or Bash
  • •Ability to work on-site with customers and travel as needed, with AI/ML solution experience
Experience:5-8 years
Languages:JapaneseEnglish
Tech Stack:SQLPythonRubyPerlBashETLSnowflakeBITableauLookerSparkHadoopAWSAzureGCP

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn