Snowflake

Senior AI/ML Architect, Applied Field Engineering/Field CTO

Snowflake2 months ago
Location

Tokyo, Japan

Type

Full Time

Salary

JPY 12,000,000 – 18,000,000

Level

Senior

Role

ML Engineer

Posted

Jan 6, 2026

Full TimeSenior

The role

Summary

Snowflake is seeking a Senior AI/ML Architect to join their Applied Field Engineering team in Tokyo, leading technical sales engagements and architecting cloud data solutions for enterprise clients. This role combines deep technical expertise in data platforms with customer-facing responsibilities including pre-sales, demos, and strategic solution design across multi-cloud environments.

What you'll do

Technical Sales Leadership: Present Snowflake technology and vision to executives and technical stakeholders at strategic prospects, existing customers, and partner companies using multi-cloud data architecture expertise
Customer Engagement: Work hands-on with customers throughout the entire sales cycle from demos to POCs, design, and implementation to demonstrate and communicate the value of Snowflake technology
Competitive Intelligence: Stay current with the evolving industry landscape, understand competitive and complementary technologies/vendors, and articulate Snowflake's positioning against them
Cross-functional Collaboration: Partner with Product Management, Engineering, and Marketing teams to contribute to continuous improvement of Snowflake's products and marketing initiatives
Solution Architecture: Design interoperable data lakehouse architectures and integrate customer architecture frameworks with Snowflake's data architecture
Technical Demonstrations: Deliver compelling value-based demonstrations and support enterprise proof-of-concepts using platform capabilities across data ingestion, transformation, and lakehouse workloads

What we look for

Technical

Data Architecture Experience10+ years of architecture and data engineering experience in enterprise data domain
Pre-sales Experience5+ years in pre-sales environments as Sales Engineer, Solution Engineer, or Solution Architect
Big Data TechnologiesExtensive experience with large-scale databases, data warehouse technologies, ETL, analytics, and cloud technologies
Development SkillsHands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive, and other big data technologies
Data Integration ExpertiseDeep understanding of data integration services and tools for building ETL/ELT pipelines
Streaming TechnologiesKnowledge of streaming technologies and real-time/near real-time use cases including CDC
Data Lakehouse ArchitectureExperience designing interoperable data lakehouse architectures using Iceberg, Delta, and Parquet
Language ProficiencyBusiness-level or higher proficiency in both Japanese and English (required)

Education

Bachelor's DegreeBachelor's degree required in any field
Advanced Degree PreferredMaster's degree in Computer Science, Engineering, Mathematics, or related field preferred, or equivalent experience

Experience

Enterprise Data ExperienceMinimum 10 years in enterprise data architecture and engineering
Pre-sales ExperienceMinimum 5 years in technical pre-sales roles
Presentation SkillsExceptional presentation skills for both technical and executive audiences through whiteboarding, presentations, and demos
Customer Solution MappingProven ability to connect customer-specific business challenges with Snowflake solutions

Skills

Required skills

Multi-cloud ArchitectureExpertise in designing and implementing solutions across AWS, Azure, and GCP
Data EngineeringStrong architectural expertise in data engineering with ability to present confidently to executives and technical audiences
Technical PresentationExceptional ability to deliver impromptu whiteboard explanations, presentations, and demos
Solution DesignCapability to map customer business challenges to technical solutions
Customer Architecture IntegrationSkill in diving deep into customer architecture frameworks and integrating with Snowflake
Bilingual CommunicationBusiness-level proficiency in both Japanese and English

Nice to have

Industry KnowledgeDeep understanding of competitive and complementary data technologies and vendors
Product CollaborationExperience working with product management and engineering teams on product improvements
Enterprise SalesBackground in technical sales cycles for enterprise software solutions
Advanced AnalyticsExperience with advanced analytics and AI/ML workloads on cloud platforms

Compensation & benefits

Salary

JPY 12,000,000 – 18,000,000 (annual)

Stock options

Available

Benefits

Stock Options

Equity participation in fast-growing cloud computing company

Professional Development

Opportunities for continuous learning in cutting-edge cloud data technologies

Global Impact

Work on enterprise-scale solutions affecting major organizations worldwide

Innovation Culture

Culture focused on impact, innovation, and collaboration

Career Growth

Opportunities to advance within rapidly scaling organization


Interview process

  1. 1
    Initial Screen Phone/video interview with recruiting team to assess basic qualifications and cultural fit
  2. 2
    Technical Assessment Technical discussion covering data architecture, cloud platforms, and hands-on experience with relevant technologies
  3. 3
    Presentation Round Candidate delivers technical presentation or whiteboard session demonstrating ability to explain complex concepts to different audiences
  4. 4
    Customer Scenario Role-play exercise simulating customer engagement, solution design, and objection handling
  5. 5
    Final Interviews Meetings with hiring manager, cross-functional team members, and potential executive stakeholders
  6. 6
    Reference Check Verification of technical expertise and customer-facing experience with previous employers

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Snowflake

Snowflake

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Snowflake is an American cloud computing company offering data warehousing and analytics platforms.

Bozeman, Montana, United StatesFounded 2012snowflake.com

Tech Stack

Languages
SQLPython
Frameworks
PandasApache SparkPySparkApache HadoopApache Hive
Databases
SnowflakeData LakesData Warehouses
Tools
Apache NiFiMatillionFivetranQlikInformaticaApache KafkaApache FlinkSpark StreamingAmazon Kinesis
Other
Apache IcebergDelta LakeParquetMulti-cloud platformsData MeshData Fabric

Interview Guides

11 guides available for Snowflake

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