Snowflake

Senior Data Architect, Applied Field Engineering Office/Field CTO

Snowflake2 months ago
Location

Tokyo, Japan

Type

Full Time

Salary

JPY 12,000,000 – 20,000,000

Level

Senior

Role

Data Engineer

Posted

Jan 6, 2026

Full TimeSenior

The role

Summary

Senior Data Architect role at Snowflake's Applied Field Engineering team in Tokyo, focusing on designing enterprise-scale data architectures, leading technical sales engagements, and enabling customers to implement Snowflake's cloud data platform. Requires 10+ years of data architecture experience and 5+ years in presales roles with bilingual Japanese/English proficiency.

What you'll do

Strategic Customer Engagement: Present Snowflake's technology and vision to executives and technical stakeholders at strategic prospects, existing customers, and partner companies
Technical Sales Leadership: Lead hands-on collaboration with customers throughout the entire sales cycle from demos to POCs, design, and implementation
Solution Architecture Design: Design and architect Snowflake cloud data platform as a critical component of enterprise data architecture and ecosystem
Competitive Analysis: Maintain deep understanding of competitive and complementary technologies and vendors to position Snowflake effectively
Cross-functional Collaboration: Work with Product Management, Engineering, and Marketing teams to contribute to continuous improvement of Snowflake's products and marketing
Technical Demonstrations: Deliver compelling value-based demonstrations and support enterprise proof-of-concepts
Customer Needs Assessment: Collaborate closely with sales teams to understand customer requirements and develop strategic sales cycle approaches
Platform Expertise Delivery: Present Snowflake platform capabilities across data ingestion, transformation, and lakehouse workloads using expertise, best practices, and reference architectures

What we look for

Technical

Data Architecture Experience10+ years of architecture and data engineering experience in enterprise data domain
Presales Experience5+ years of experience in presales environment (Sales Engineer, Solutions Engineer, Solutions Architect)
Big Data TechnologiesExtensive experience with large-scale databases, data warehouse technologies, ETL, analytics, and cloud technologies
Programming SkillsHands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive, and other big data technologies
Data Integration ToolsDeep understanding of data integration services and tools including Apache NiFi, Matillion, Fivetran, Qlik, Informatica
Streaming TechnologiesKnowledge of streaming technologies such as Kafka, Flink, Spark Streaming, Kinesis and real-time use cases
Lakehouse ArchitectureExperience designing interoperable data lakehouse architectures and using Iceberg, Delta, Parquet
Solution IntegrationAbility to connect customer-specific business challenges with Snowflake solutions

Education

Bachelor's DegreeBachelor's degree required in Computer Science, Engineering, Mathematics, or related field
Master's DegreeMaster's degree in Computer Science, Engineering, Mathematics, or equivalent experience preferred

Experience

Enterprise ArchitectureMinimum 10 years of experience in enterprise data architecture and data engineering
Presales RoleMinimum 5 years in technical presales roles supporting enterprise sales
Executive PresentationProven track record of presenting to both technical teams and executive leadership
Customer Architecture IntegrationExperience diving deep into customer architecture frameworks and integrating with Snowflake data architecture
Language ProficiencyBusiness-level or higher proficiency in both Japanese and English languages (required)

Skills

Required skills

Data Architecture DesignExpert-level ability to design enterprise-scale data architectures and ecosystems
Technical PresentationOutstanding presentation skills for technical and executive audiences through whiteboarding, presentations, and demos
SQL ProgrammingAdvanced SQL skills for complex data querying and database management
Python DevelopmentProficient Python programming for data processing, analytics, and automation
Big Data FrameworksExtensive experience with Spark, Hadoop, Hive, and distributed computing platforms
ETL/ELT ProcessesDeep expertise in data transformation, loading, and pipeline construction
Cloud Data PlatformsComprehensive understanding of cloud data warehousing, lakes, mesh, and fabric architectures
Streaming Data ProcessingKnowledge of real-time and near-real-time data processing with Kafka, Flink, Kinesis
Bilingual CommunicationBusiness-level Japanese and English proficiency for customer and internal communications

Nice to have

Snowflake PlatformPrior experience with Snowflake cloud data platform and its ecosystem
Data Integration ToolsHands-on experience with enterprise data integration platforms like Informatica, Matillion, Fivetran
Open Table FormatsExperience with modern lakehouse formats including Iceberg, Delta Lake, and Parquet
Change Data CaptureUnderstanding of CDC patterns and real-time data synchronization techniques
Enterprise SalesTrack record of supporting complex enterprise sales cycles and customer engagements
Industry CertificationsRelevant cloud platform certifications (AWS, Azure, GCP) or data platform certifications

Compensation & benefits

Salary

JPY 12,000,000 – 20,000,000 (annual)

Stock options

Available

Benefits

Stock Options

Equity participation in Snowflake's growth as a publicly traded company

Professional Development

Opportunities for continuous learning and career advancement in cutting-edge data technology

International Exposure

Work with global teams and customers across different markets and regions

Innovation Culture

Access to latest cloud data technologies and opportunity to influence product development

Health Insurance

Comprehensive health and medical insurance coverage

Flexible Work Environment

Collaborative culture focused on impact, innovation, and professional growth


Interview process

  1. 1
    Initial Screening Phone/video interview focusing on background, experience, and cultural fit assessment
  2. 2
    Technical Assessment Deep dive into data architecture experience, technical skills, and problem-solving approach
  3. 3
    Presentation Round Technical presentation or whiteboarding session demonstrating communication and architecture design skills
  4. 4
    Customer Scenario Discussion Case study or role-play focusing on customer engagement, solution positioning, and presales experience
  5. 5
    Final Interview Meeting with senior leadership to assess strategic thinking, cultural alignment, and long-term fit

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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
SQLPythonPySpark
Frameworks
Apache SparkHadoopPandas
Databases
SnowflakeData WarehousesData Lakes
Tools
Apache NiFiMatillionFivetranInformaticaQlikApache KafkaApache FlinkSpark StreamingAWS Kinesis
Other
IcebergDelta LakeParquetHiveETL/ELTCDC

Interview Guides

11 guides available for Snowflake

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