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Snowflake

Runs a cloud platform for business data and AI

Senior Cloud Support Engineer - SQL

Customer SupportConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of technical support experience, including customer-facing experience.
  • Experience using AI tools and the ability to evaluate and validate AI-generated output.
  • Ability to investigate and analyze issues independently without relying on AI when needed.
  • Experience analyzing issues using SQL and analyzing logs.
  • Basic knowledge of major relational database management systems.
  • Understanding of SQL data types, aggregation, and functions.
  • Experience analyzing query execution plans and query profiles.
  • Experience handling, searching, and transforming semi-structured data such as JSON and XML.
  • Experience using major cloud services such as AWS, Azure, or Google Cloud Platform, and understanding cloud architecture.
  • In-depth understanding of locking and concurrency control.
  • Excellent Japanese reading, writing, and verbal communication skills.
  • Basic spoken English communication skills and intermediate-or-higher English reading and writing skills.
  • Availability to work a 12:00–21:00 shift with a one-hour break; working hours or shifts may change depending on business needs.

Responsibilities

  • Manage customer cases from initial investigation through resolution and follow-up, communicate appropriately, and provide timely status updates.
  • Use AI assistants and diagnostic tools to streamline initial response and root-cause analysis.
  • Provide outcome-focused support that addresses recurrence prevention and system reliability, not just immediate symptoms.
  • Provide technical analysis and advice through email, web meetings, and phone, adapting communication to customers’ technical levels.
  • Use AI to analyze logs, develop hypotheses, and draft responses; validate the content before sharing it with customers.
  • Investigate and verify issues using the Snowflake environment, connectors, and internal tools.
  • Work with Engineering, Product, and Customer Success to resolve complex issues and product problems.
  • Record solutions in the knowledge base, review AI-generated drafts, and revise them as needed.
  • Provide feedback on product behavior, documentation gaps, and opportunities to improve AI tools.
  • Document bugs and feature requests and work with Engineering to resolve issues.
  • Participate in weekend and holiday rotation shifts and provide on-call support.

Desired Qualifications

  • Experience working in a 24/7/365 support environment.
  • Experience using Snowflake products.
  • Experience building or operating workflow automation or CI/CD environments.
  • Experience in AI-enabled support or Site Reliability Engineering.
  • SnowPro or cloud-related certifications.
  • Experience operating distributed databases, big data platforms, or massively parallel processing databases.
  • Experience with database migrations or extract, transform, and load projects.
  • Experience managing and optimizing cloud costs.
  • Experience in SQL performance tuning, join optimization, and query improvement.
  • Experience with database patching and release management.
  • Ability to analyze performance metrics such as CPU, memory, input/output, and network usage.
  • Experience designing or operating high availability and disaster recovery.
  • Experience managing and optimizing data warehouse resources.
  • Knowledge of scaling cloud resources up and out.
  • Experience optimizing job and task scheduling.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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