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