Senior Manager, Data Engineer

About the role

Tapestry is hiring a Senior Manager, Data Engineering to lead both backend data platform engineering and functional data ownership for Japan and Korea. The role is hands-on and senior-individual-contributor focused, with strong ownership of data platforms, pipelines and in-house business-critical data products. It requires deep technical expertise, strong data-flow understanding and close collaboration with business, offshore teams and vendors, in English and Japanese. Only applicants residing in Japan with valid work authorization are accepted.

Key responsibilities

• Backend and platform engineering: design, build and operate scalable cloud-native data platforms (AWS, Azure, GCP, Snowflake); develop and maintain automated data pipelines for analytics and business operations.
• Own the development, test and production environments for the Japan and Korea data platform, and lead CI/CD, source control, configuration management and deployment.
• Promote data engineering best practices, architecture standards, data modeling and security principles, and implement scalable architectures using Infrastructure-as-Code.
• Functional ownership: ensure data quality, usability and business relevance of in-house data products, analyze complex data flows, investigate data issues and turn business requirements into data models and analytics-ready datasets.
• Partner with business analysts, marketing analytics, product owners and downstream analytics teams, and communicate technical concepts clearly in English and Japanese.

Required profile

• 6+ years of data engineering experience.
• Business-level English and conversational or above Japanese (80% English, 20% Japanese).
• Bachelor's degree in Computer Science, Data Engineering or a related field preferred.
• Strong problem-solving, ownership and attention to detail; able to bridge technical depth with business context.

Required skills

• Strong ANSI SQL (DDL, DML, DCL)
• Cloud data services (e.g. AWS Glue, Athena, EMR)
• Big-data frameworks such as Spark, Hadoop, Hive, Presto, HBase or Phoenix
• Scripting and automation with Python, Bash or similar
• Distributed systems, data structures and performance optimization
• Git-based source control and CI/CD tools
• Airflow or TIDAL; nice to have: Java/J2EE, Spring, REST/microservices, NoSQL, CloudFormation/Terraform, Maven/Gradle/Jenkins