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Senior Manager, Data Engineer

Reads like a Data Leadership role: running a data team.

Minato-Ku, JPN (Tokyo Corporate Office)

Open 5 months, first seen by us 167 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in Japan*We are currently only accepting applicants that are currently residing in Japan and already possess valid work authorization for Japan

What you’ll work on

Full posting

We are hiring a Senior Manager, Data Engineering to lead both backend data platform engineering and functional data ownership for Japan and Korea.

The role requires deep technical expertise, strong data‑flow understanding, and the ability to work closely with business, offshore team/vendors, and global teams in both English and Japanese.

  • Design, build, and operate scalable cloud-native data platforms

  • Build and maintain reliable, automated data pipelines

  • Act as functional owner for in-house data products and data quality

  • Lead root-cause investigation of complex data flow issues

  • Lead CI/CD and deployment for data services

From the employer’s posting
We are hiring a Senior Manager, Data Engineering to lead both backend data platform engineering and functional data ownership for Japan and Korea. This role is hands‑on and senior‑individual‑contributor focused, with strong ownership of data platforms, pipelines, and in-house business‑critical data products.
The role requires deep technical expertise, strong data‑flow understanding, and the ability to work closely with business, offshore team/vendors, and global teams in both English and Japanese.
Design, build, and operate scalable, cloud‑native data platforms.
Develop and maintain reliable, automated data pipelines supporting analytics and business operations.
Act as functional owner for inhouse data products, ensuring data quality, usability, and business relevance.
Analyze complex data flows and lead root‑cause investigation for data issues.
Lead CI/CD, source control, configuration management, and deployment for data services.
Apply at Tapestry

Posting record

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Open 5 monthsWe first saw this posting 167 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 20, 2026167 days ago
Recorded sightings
267
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 167

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,839 similar postings that came down. Coming down is not always a hire.

Tapestry is hiring

3 open jobs

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Bash
  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • DynamoDB
  • GCP
  • Hadoop
  • Hive
  • MongoDB
  • NoSQL
  • Snowflake
  • Spark
  • Terraform
Where the posting names them
- Experience with big‑data frameworks such as Spark, Hadoop, Hive, Presto, HBase, or Phoenix. - Strong scripting and automation skills using Python, Bash, or similar languages. - Solid understanding of distributed systems, data structures, and performance optimization.
Nice to Have - Java/J2EE, Spring, RESTful services, or microservices experience. - Exposure to NoSQL databases (DynamoDB, Cassandra, MongoDB) and Linux OS.
- 6+ years od Data Engineering Experience - Strong ANSI SQL skills (DDL, DML, DCL). - Hands‑on experience with cloud based data services (e.g., Glue, Athena, EMR for AWS) .
Backend & Platform Engineering - Design, build, and operate scalable, cloud‑native data platforms. Eg AWS, Azure, GCP, Snowflake. - Develop and maintain reliable, automated data pipelines supporting analytics and business operations.
- Strong ANSI SQL skills (DDL, DML, DCL). - Hands‑on experience with cloud based data services (e.g., Glue, Athena, EMR for AWS) . - Experience with big‑data frameworks such as Spark, Hadoop, Hive, Presto, HBase, or Phoenix.
- Java/J2EE, Spring, RESTful services, or microservices experience. - Exposure to NoSQL databases (DynamoDB, Cassandra, MongoDB) and Linux OS. - Experience with CloudFormation, Terraform, or other IaC tools.
- Hands‑on experience with cloud based data services (e.g., Glue, Athena, EMR for AWS) . - Experience with big‑data frameworks such as Spark, Hadoop, Hive, Presto, HBase, or Phoenix. - Strong scripting and automation skills using Python, Bash, or similar languages.
- Exposure to NoSQL databases (DynamoDB, Cassandra, MongoDB) and Linux OS. - Experience with CloudFormation, Terraform, or other IaC tools. - Experience supporting analytics dashboards or visualization tools.

Your next step

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Explore the possibilities across our global house of brands.

Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.

At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.

*We are currently only accepting applicants that are currently residing in Japan and already possess valid work authorization for Japan. We kindly ask applicants outside Japan to refrain from applying at this time.

Role Overview

We are hiring a Senior Manager, Data Engineering to lead both backend data platform engineering and functional data ownership for Japan and Korea. This role is hands‑on and senior‑individual‑contributor focused, with strong ownership of data platforms, pipelines, and in-house business‑critical data products.

The role requires deep technical expertise, strong data‑flow understanding, and the ability to work closely with business, offshore team/vendors, and global teams in both English and Japanese.

Key Responsibilities

Backend & Platform Engineering

  • Design, build, and operate scalable, cloud‑native data platforms. Eg AWS, Azure, GCP,  Snowflake.
  • Develop and maintain reliable, automated data pipelines supporting analytics and business operations.
  • Own development, test, and production environments for the Japan and Korea data platform.
  • Lead CI/CD, source control, configuration management, and deployment for data services.
  • Define and promote data engineering best practices, architecture standards, Data modeling and security principles.
  • Implement loosely coupled, scalable architectures using Infrastructure‑as‑Code principles.

Functional Engineering & Data Product Ownership

  • Act as functional owner for inhouse data products, ensuring data quality, usability, and business relevance.
  • Analyze complex data flows and lead root‑cause investigation for data issues.
  • Translate business requirements into robust data models and analytics‑ready datasets.
  • Partner closely with business analysts, marketing analytics, product owners, and downstream analytics teams.

Collaboration & Communication

  • Work effectively with local and global engineering teams, vendors, and business stakeholders including leading off-shore team.
  • Communicate technical concepts, issues, and solutions clearly in English and Japanese.
  • Support cross‑team alignment and stable operations of data platforms in Japan and Korea.

Core Technical Requirements

  • 6+ years od Data Engineering Experience
  • Strong ANSI SQL skills (DDL, DML, DCL).
  • Hands‑on experience with cloud based data services (e.g., Glue, Athena, EMR for AWS) .
  • Experience with big‑data frameworks such as Spark, Hadoop, Hive, Presto, HBase, or Phoenix.
  • Strong scripting and automation skills using Python, Bash, or similar languages.
  • Solid understanding of distributed systems, data structures, and performance optimization.
  • Experience with Git‑based source control and CI/CD tools.
  • Familiarity with workflow schedulers such as Airflow or TIDAL.
  • Language - Business level of English, Conversational or above Japanese (80% of the position will be in English, 20% will be in Japanese)

Nice to Have

  • Java/J2EE, Spring, RESTful services, or microservices experience.
  • Exposure to NoSQL databases (DynamoDB, Cassandra, MongoDB) and Linux OS.
  • Experience with CloudFormation, Terraform, or other IaC tools.
  • Experience supporting analytics dashboards or visualization tools.
  • Knowledge of build tools such as Maven, Gradle, or Jenkins.

Qualifications & Attributes

  • Strong problem‑solving skills with high ownership and attention to detail.
  • Proactive, self‑driven, and comfortable working in a fast‑paced environment.
  • Ability to bridge technical depth with business context.
  • Relevant cloud or data certifications are a plus.
  • Bachelor’s degree in Computer Science, Data Engineering, or related field preferred.


Our Competencies for All Employees
Courage
: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
 
Our Competencies for All People Managers
Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.    

Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under the consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.

Visit Tapestry, Inc.

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Location & working pattern

Minato-Ku, JPN (Tokyo Corporate Office)

Working pattern and location restrictions need checking in the full posting.

Work authorization
At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. *We are currently only accepting applicants that are currently residing in Japan and already possess valid work authorization for Japan. We kindly ask applicants outside Japan to refrain from applying at this time. Role Overview

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