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High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!

Snowflake

High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!

full-timePosted: Jan 6, 2026

Job Description

Senior AI/ML Architect, Applied Field Engineering/Field CTO - Tokyo, Japan

Role Overview

As a Senior AI/ML Architect within Snowflake's Applied Field Engineering team, you will be a pivotal player in driving the adoption of our cloud data platform among enterprise clients. Based in Tokyo, you will leverage your deep expertise in data architecture, AI/ML, and cloud technologies to guide customers in designing and implementing solutions that unlock the full potential of their data. Your role will involve collaborating with both technical and executive stakeholders, shaping data strategies, and showcasing the value of Snowflake through compelling demonstrations and proof-of-concept engagements. This position offers a unique opportunity to impact the data landscape of leading organizations and contribute to the continued growth of Snowflake in the Japanese market.

Day in the Life

A typical day for a Senior AI/ML Architect at Snowflake might include: * Meeting with a prospective client's CTO to discuss their data modernization initiatives and how Snowflake can support their AI/ML goals. * Conducting a whiteboard session with a data engineering team to design a scalable data pipeline for real-time analytics. * Developing a proof-of-concept demonstrating Snowflake's ability to accelerate machine learning model training using large datasets. * Presenting a technical deep-dive on Snowflake's data lakehouse capabilities to a group of data scientists. * Collaborating with the product management team to provide feedback on new features and enhancements based on customer interactions. * Staying up-to-date on the latest trends in AI/ML, data engineering, and cloud computing by reading industry publications and attending conferences. ## Why Tokyo, Japan? Tokyo is a global hub for technology and innovation, making it an ideal location for a Senior AI/ML Architect at Snowflake. The city is home to numerous large enterprises, startups, and research institutions that are at the forefront of data-driven innovation. By being based in Tokyo, you will have the opportunity to work with some of the most forward-thinking organizations in the world and contribute to the growth of Snowflake in a dynamic and competitive market. Additionally, Tokyo offers a high quality of life, with excellent infrastructure, transportation, and cultural attractions. ## Career Path At Snowflake, we are committed to providing our employees with opportunities for growth and advancement. As a Senior AI/ML Architect, you can progress along several career paths, including: * **Principal Architect:** Lead a team of architects and provide strategic guidance on large-scale data initiatives. * **Field CTO:** Serve as a trusted advisor to executive-level clients and shape their long-term data strategies. * **Product Manager:** Transition into product management and help define the future of Snowflake's AI/ML capabilities. * **Sales Leadership:** Move into a sales leadership role and lead a team of solution engineers focused on driving revenue growth. ## Salary & Benefits Snowflake offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for a Senior AI/ML Architect in Tokyo is typically between $150,000 and $250,000 USD per year, depending on experience and qualifications. In addition to salary, Snowflake offers a comprehensive benefits package that includes: * Comprehensive health insurance * Paid time off * Retirement plan * Professional development opportunities * Employee stock options * Flexible work arrangements * Wellness programs * Life insurance * Disability insurance * Employee assistance program * Commuter benefits * Tuition reimbursement * Paid parental leave * Generous holiday schedule * Employee referral program ## Innovation Culture Snowflake fosters a culture of innovation and collaboration, where employees are encouraged to challenge ordinary thinking and push the pace of innovation. We believe that our employees are our greatest asset, and we are committed to providing them with the resources and support they need to succeed. Some of the ways we foster innovation include: * **Hackathons:** Regular hackathons provide employees with the opportunity to work on innovative projects and explore new technologies. * **Innovation labs:** Dedicated innovation labs provide employees with access to cutting-edge equipment and resources. * **Open source contributions:** We encourage employees to contribute to open source projects and share their knowledge with the wider community. * **Internal training programs:** A variety of internal training programs help employees develop new skills and stay up-to-date on the latest technologies. * **Cross-functional collaboration:** We encourage cross-functional collaboration to foster creativity and innovation. ## How to Apply If you are a highly motivated and experienced AI/ML Architect with a passion for data and cloud technologies, we encourage you to apply for this exciting opportunity. To apply, please submit your resume and cover letter through the Snowflake Careers website. Be sure to highlight your experience with data architecture, AI/ML, cloud computing, and pre-sales engagements. ## Frequently Asked Questions (FAQ) 1. **What is Snowflake?** Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data. 2. **What is Applied Field Engineering?** Applied Field Engineering is a team within Snowflake that works closely with customers to design and implement data solutions using the Snowflake platform. 3. **What skills are required for this role?** The key skills required for this role include data architecture, AI/ML, cloud computing, pre-sales experience, and communication skills. 4. **What is the career path for this role?** The career path for this role includes opportunities to progress into principal architect, field CTO, product manager, or sales leadership positions. 5. **What is the salary range for this role?** The salary range for this role is typically between $150,000 and $250,000 USD per year, depending on experience and qualifications. 6. **What benefits does Snowflake offer?** Snowflake offers a comprehensive benefits package that includes health insurance, paid time off, retirement plan, and employee stock options. 7. **What is the culture like at Snowflake?** Snowflake fosters a culture of innovation and collaboration, where employees are encouraged to challenge ordinary thinking and push the pace of innovation. 8. **How do I apply for this role?** To apply for this role, please submit your resume and cover letter through the Snowflake Careers website. 9. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an on-site interview with members of the team. 10. **What are some of the challenges of this role?** Some of the challenges of this role include keeping up with the latest trends in AI/ML and cloud computing, and effectively communicating complex technical concepts to both technical and executive audiences.

Locations

  • Tokyo, Japan

Salary

Estimated Salary Rangehigh confidence

150,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Multi-cloud data architectureintermediate
  • Data architectureintermediate
  • Data engineeringintermediate
  • Pre-sales experienceintermediate
  • Solution engineeringintermediate
  • Solution architectureintermediate
  • Presentation skillsintermediate
  • Communication skillsintermediate
  • Customer relationship managementintermediate
  • Data warehousingintermediate
  • ETLintermediate
  • Analyticsintermediate
  • Cloud technologiesintermediate
  • Data lakeintermediate
  • Data meshintermediate
  • Data fabricintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Big data technologiesintermediate
  • Data integration servicesintermediate
  • ETL/ELT data pipelinesintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Streaming technologiesintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Real-time data processingintermediate
  • Change Data Capture (CDC)intermediate
  • Data lakehouse architectureintermediate
  • Icebergintermediate
  • Deltaintermediate
  • Parquetintermediate

Required Qualifications

  • 10+ years of experience in enterprise data architecture and data engineering (experience)
  • 5+ years of experience in a pre-sales environment (experience)
  • Exceptional presentation skills to technical and executive audiences (experience)
  • Ability to connect customer business challenges with Snowflake solutions (experience)
  • Ability to understand customer architecture frameworks and integrate with Snowflake's data architecture (experience)
  • Extensive experience with large-scale databases, data warehousing technologies, ETL, analytics, and cloud technologies (experience)
  • Hands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, and Hive (experience)
  • Deep understanding of data integration services and tools for building ETL/ELT data pipelines (experience)
  • Knowledge of streaming technologies and real-time use cases (experience)
  • Experience designing interoperable data lakehouse architectures (experience)
  • Strong architectural expertise in data engineering (experience)
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field required (experience)
  • Business-level proficiency in Japanese and English (experience)

Responsibilities

  • Propose Snowflake's technology and vision to executives and technical staff at strategic prospects, existing customers, and partners
  • Work hands-on with customers throughout the sales cycle to demonstrate the value of Snowflake technology
  • Stay up-to-date with industry trends and understand Snowflake's positioning against competitors
  • Collaborate with product management, engineering, and marketing teams to improve Snowflake's products and marketing
  • Provide technical leadership in designing and architecting the Snowflake cloud data platform
  • Collaborate with technical staff and executives to drive Snowflake adoption
  • Work closely with the sales team to understand customer needs
  • Develop sales cycle strategies
  • Deliver compelling value-based demonstrations
  • Support enterprise Proof of Concepts (PoCs)
  • Drive deals to closure
  • Present Snowflake's platform capabilities for data ingestion, transformation, and lakehouse workloads
  • Leverage expertise, best practices, and reference architectures to guide customers

Benefits

  • general: Comprehensive health insurance
  • general: Paid time off
  • general: Retirement plan
  • general: Professional development opportunities
  • general: Employee stock options
  • general: Flexible work arrangements
  • general: Wellness programs
  • general: Life insurance
  • general: Disability insurance
  • general: Employee assistance program
  • general: Commuter benefits
  • general: Tuition reimbursement
  • general: Paid parental leave
  • general: Generous holiday schedule
  • general: Employee referral program

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AIMLData ArchitectureCloudPre-salesTokyoAI ArchitectML ArchitectMachine LearningCloud ComputingSnowflakeData WarehouseData LakehouseJapanSolution EngineeringData EngineeringETLData IntegrationBig DataSQLPythonSparkData ScienceCloud Data PlatformData SolutionsEnterprise ArchitectureTechnical LeadershipAI/ML Architect TokyoSnowflake CareersCloud ComputingDataEngineeringSales

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Snowflake logo

High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!

Snowflake

High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!

full-timePosted: Jan 6, 2026

Job Description

Senior AI/ML Architect, Applied Field Engineering/Field CTO - Tokyo, Japan

Role Overview

As a Senior AI/ML Architect within Snowflake's Applied Field Engineering team, you will be a pivotal player in driving the adoption of our cloud data platform among enterprise clients. Based in Tokyo, you will leverage your deep expertise in data architecture, AI/ML, and cloud technologies to guide customers in designing and implementing solutions that unlock the full potential of their data. Your role will involve collaborating with both technical and executive stakeholders, shaping data strategies, and showcasing the value of Snowflake through compelling demonstrations and proof-of-concept engagements. This position offers a unique opportunity to impact the data landscape of leading organizations and contribute to the continued growth of Snowflake in the Japanese market.

Day in the Life

A typical day for a Senior AI/ML Architect at Snowflake might include: * Meeting with a prospective client's CTO to discuss their data modernization initiatives and how Snowflake can support their AI/ML goals. * Conducting a whiteboard session with a data engineering team to design a scalable data pipeline for real-time analytics. * Developing a proof-of-concept demonstrating Snowflake's ability to accelerate machine learning model training using large datasets. * Presenting a technical deep-dive on Snowflake's data lakehouse capabilities to a group of data scientists. * Collaborating with the product management team to provide feedback on new features and enhancements based on customer interactions. * Staying up-to-date on the latest trends in AI/ML, data engineering, and cloud computing by reading industry publications and attending conferences. ## Why Tokyo, Japan? Tokyo is a global hub for technology and innovation, making it an ideal location for a Senior AI/ML Architect at Snowflake. The city is home to numerous large enterprises, startups, and research institutions that are at the forefront of data-driven innovation. By being based in Tokyo, you will have the opportunity to work with some of the most forward-thinking organizations in the world and contribute to the growth of Snowflake in a dynamic and competitive market. Additionally, Tokyo offers a high quality of life, with excellent infrastructure, transportation, and cultural attractions. ## Career Path At Snowflake, we are committed to providing our employees with opportunities for growth and advancement. As a Senior AI/ML Architect, you can progress along several career paths, including: * **Principal Architect:** Lead a team of architects and provide strategic guidance on large-scale data initiatives. * **Field CTO:** Serve as a trusted advisor to executive-level clients and shape their long-term data strategies. * **Product Manager:** Transition into product management and help define the future of Snowflake's AI/ML capabilities. * **Sales Leadership:** Move into a sales leadership role and lead a team of solution engineers focused on driving revenue growth. ## Salary & Benefits Snowflake offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for a Senior AI/ML Architect in Tokyo is typically between $150,000 and $250,000 USD per year, depending on experience and qualifications. In addition to salary, Snowflake offers a comprehensive benefits package that includes: * Comprehensive health insurance * Paid time off * Retirement plan * Professional development opportunities * Employee stock options * Flexible work arrangements * Wellness programs * Life insurance * Disability insurance * Employee assistance program * Commuter benefits * Tuition reimbursement * Paid parental leave * Generous holiday schedule * Employee referral program ## Innovation Culture Snowflake fosters a culture of innovation and collaboration, where employees are encouraged to challenge ordinary thinking and push the pace of innovation. We believe that our employees are our greatest asset, and we are committed to providing them with the resources and support they need to succeed. Some of the ways we foster innovation include: * **Hackathons:** Regular hackathons provide employees with the opportunity to work on innovative projects and explore new technologies. * **Innovation labs:** Dedicated innovation labs provide employees with access to cutting-edge equipment and resources. * **Open source contributions:** We encourage employees to contribute to open source projects and share their knowledge with the wider community. * **Internal training programs:** A variety of internal training programs help employees develop new skills and stay up-to-date on the latest technologies. * **Cross-functional collaboration:** We encourage cross-functional collaboration to foster creativity and innovation. ## How to Apply If you are a highly motivated and experienced AI/ML Architect with a passion for data and cloud technologies, we encourage you to apply for this exciting opportunity. To apply, please submit your resume and cover letter through the Snowflake Careers website. Be sure to highlight your experience with data architecture, AI/ML, cloud computing, and pre-sales engagements. ## Frequently Asked Questions (FAQ) 1. **What is Snowflake?** Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data. 2. **What is Applied Field Engineering?** Applied Field Engineering is a team within Snowflake that works closely with customers to design and implement data solutions using the Snowflake platform. 3. **What skills are required for this role?** The key skills required for this role include data architecture, AI/ML, cloud computing, pre-sales experience, and communication skills. 4. **What is the career path for this role?** The career path for this role includes opportunities to progress into principal architect, field CTO, product manager, or sales leadership positions. 5. **What is the salary range for this role?** The salary range for this role is typically between $150,000 and $250,000 USD per year, depending on experience and qualifications. 6. **What benefits does Snowflake offer?** Snowflake offers a comprehensive benefits package that includes health insurance, paid time off, retirement plan, and employee stock options. 7. **What is the culture like at Snowflake?** Snowflake fosters a culture of innovation and collaboration, where employees are encouraged to challenge ordinary thinking and push the pace of innovation. 8. **How do I apply for this role?** To apply for this role, please submit your resume and cover letter through the Snowflake Careers website. 9. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an on-site interview with members of the team. 10. **What are some of the challenges of this role?** Some of the challenges of this role include keeping up with the latest trends in AI/ML and cloud computing, and effectively communicating complex technical concepts to both technical and executive audiences.

Locations

  • Tokyo, Japan

Salary

Estimated Salary Rangehigh confidence

150,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Multi-cloud data architectureintermediate
  • Data architectureintermediate
  • Data engineeringintermediate
  • Pre-sales experienceintermediate
  • Solution engineeringintermediate
  • Solution architectureintermediate
  • Presentation skillsintermediate
  • Communication skillsintermediate
  • Customer relationship managementintermediate
  • Data warehousingintermediate
  • ETLintermediate
  • Analyticsintermediate
  • Cloud technologiesintermediate
  • Data lakeintermediate
  • Data meshintermediate
  • Data fabricintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Big data technologiesintermediate
  • Data integration servicesintermediate
  • ETL/ELT data pipelinesintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Streaming technologiesintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Real-time data processingintermediate
  • Change Data Capture (CDC)intermediate
  • Data lakehouse architectureintermediate
  • Icebergintermediate
  • Deltaintermediate
  • Parquetintermediate

Required Qualifications

  • 10+ years of experience in enterprise data architecture and data engineering (experience)
  • 5+ years of experience in a pre-sales environment (experience)
  • Exceptional presentation skills to technical and executive audiences (experience)
  • Ability to connect customer business challenges with Snowflake solutions (experience)
  • Ability to understand customer architecture frameworks and integrate with Snowflake's data architecture (experience)
  • Extensive experience with large-scale databases, data warehousing technologies, ETL, analytics, and cloud technologies (experience)
  • Hands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, and Hive (experience)
  • Deep understanding of data integration services and tools for building ETL/ELT data pipelines (experience)
  • Knowledge of streaming technologies and real-time use cases (experience)
  • Experience designing interoperable data lakehouse architectures (experience)
  • Strong architectural expertise in data engineering (experience)
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field required (experience)
  • Business-level proficiency in Japanese and English (experience)

Responsibilities

  • Propose Snowflake's technology and vision to executives and technical staff at strategic prospects, existing customers, and partners
  • Work hands-on with customers throughout the sales cycle to demonstrate the value of Snowflake technology
  • Stay up-to-date with industry trends and understand Snowflake's positioning against competitors
  • Collaborate with product management, engineering, and marketing teams to improve Snowflake's products and marketing
  • Provide technical leadership in designing and architecting the Snowflake cloud data platform
  • Collaborate with technical staff and executives to drive Snowflake adoption
  • Work closely with the sales team to understand customer needs
  • Develop sales cycle strategies
  • Deliver compelling value-based demonstrations
  • Support enterprise Proof of Concepts (PoCs)
  • Drive deals to closure
  • Present Snowflake's platform capabilities for data ingestion, transformation, and lakehouse workloads
  • Leverage expertise, best practices, and reference architectures to guide customers

Benefits

  • general: Comprehensive health insurance
  • general: Paid time off
  • general: Retirement plan
  • general: Professional development opportunities
  • general: Employee stock options
  • general: Flexible work arrangements
  • general: Wellness programs
  • general: Life insurance
  • general: Disability insurance
  • general: Employee assistance program
  • general: Commuter benefits
  • general: Tuition reimbursement
  • general: Paid parental leave
  • general: Generous holiday schedule
  • general: Employee referral program

Target Your Resume for "High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMLData ArchitectureCloudPre-salesTokyoAI ArchitectML ArchitectMachine LearningCloud ComputingSnowflakeData WarehouseData LakehouseJapanSolution EngineeringData EngineeringETLData IntegrationBig DataSQLPythonSparkData ScienceCloud Data PlatformData SolutionsEnterprise ArchitectureTechnical LeadershipAI/ML Architect TokyoSnowflake CareersCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.