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Lead Data Engineer
- 給与
- 記載なし
- 勤務地
- 記載なし
- 休日
- 記載なし
- 雇用形態
- 記載なし
どんな仕事かAIによる生成
The Lead Data Engineer owns the data engineering function for the Japan & South Korea Operating Unit, leading the design, delivery, and operation of enterprise data platforms and pipelines. The role translates data strategy into scalable engineering roadmaps, builds and leads a data engineering team, and represents data engineering in OU data governance forums. The Director ensures platforms are reliable, automated, and engineered for scale, enabling trusted, high-quality data across critical business domains.
この求人に応募
応募資格
必須
- 10+ years of experience in data engineering, including ETL/ELT, data platforms, and pipeline operations, with demonstrated progression into leadership.
- Proven experience building and leading data engineering teams.
- Strong proficiency in modern data stacks (cloud data platforms, orchestration, CI/CD).
- Experience designing scalable data architectures aligned with enterprise standards.
- Experience representing engineering functions in governance or architecture review forums.
- Experience with vendor management and Agile delivery.
- Business-level English and Japanese required.
求める人物像
- A senior data engineering leader with a track record of building and leading engineering teams, architecting platforms at scale, and translating strategy into reliable, automated systems. Combines deep technical expertise with the leadership and influence needed to represent data engineering in cross-functional governance.
募集要項最終確認 11/1
- 職種
- データエンジニア
- 雇用形態
- 記載なし
- 役職
- Lead Data Engineer (Director)Leads a data engineering team
- 給与
- 記載なし
- 勤務地
- Japan - Tokyo
- 働き方
- 記載なし
- 経験年数
- 10年以上
- 応募締切
- 2026/11/30
- 掲載日
- 2026/10/13 06:52（20日前）
- 最終確認
- 2026/11/01 18:53（1日前）
仕事内容
Team
- OU Digital, Japan & South Korea Operating Unit
Reports To
- Senior Director, Data & Analytics
Job Description Summary
- The Lead Data Engineer owns the data engineering function for the Japan & South Korea Operating Unit, leading the design, delivery, and operation of enterprise data platforms and pipelines. The role translates data strategy into scalable engineering roadmaps, builds and leads a data engineering team, and represents data engineering in OU data governance forums.
- As the engineering leader for JKOU's data foundation, the Director ensures platforms are reliable, automated, and engineered for scale — enabling trusted, high-quality data across the organization's most critical business domains.
Responsibilities include
- Own and lead ETL and data pipeline engineering for OU data products and platforms, setting technical direction and engineering standards.
- Translate the data strategy into scalable engineering roadmaps, technical designs, and multi-year platform plans.
- Design, build, and operate enterprise data platforms in alignment with global architecture standards, ensuring scalability and resilience.
- Automate data pipelines and operations to maximize reliability and minimize manual effort.
- Ensure CI/CD reliability, platform performance, and engineering excellence across the data estate.
- Integrate local and system data sources, including bottler and partner data, into governed platforms.
- Partner with data science, governance, and product management to deliver end-to-end data products.
- Manage vendor engineering resources and partnerships, ensuring quality, cost-effectiveness, and delivery accountability.
- Build, lead, and develop a data engineering team, fostering technical excellence and career growth.
- Represent data engineering in OU data governance forums, advocating for platform standards, data quality, and architectural integrity.
Organizational Impact
- Owns the engineered data foundation for OU analytics, AI, and data products, directly determining their reliability and scalability.
- Leads a data engineering team and vendor partners, shaping engineering talent and capability for the OU.
- Represents data engineering in governance and architecture forums, influencing OU-wide data standards.
Innovation & Complexity
- Sets the technical direction for modern data engineering practices — automation, CI/CD, infrastructure-as-code — to raise platform excellence across the OU.
- Solves complex, ambiguous data integration challenges across system, bottler, and partner sources, often without established precedent.
- Balances near-term delivery pressure with long-term architectural sustainability.
Communication & Influence
- Communicates engineering strategy, trade-offs, and platform health to senior data and business leadership.
- Coordinates across global platform teams, local stakeholders, and vendors to align priorities and resolve conflicts.
- Represents data engineering in OU governance forums, influencing standards adopted across teams.
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