Job Description Summary:
Data Engineer
Team: OU Digital, Japan & South Korea Operating Unit
Reports To: Senior Director, Data & Analytics
The Coca-Cola Company (TCCC) is evolving into a more digital-first, data-driven enterprise to fuel sustainable growth, increase speed to market, and unlock new sources of value. Rapid advances in technology, data, and AI create a unique opportunity to accelerate The Coca-Cola Company system's next chapter of growth by reimagining our core competitive advantages. Building on a strong foundation of modernized infrastructure, global digital experiences, early data capabilities, and proven use cases, we are now shifting from early wins to scaled, end-to-end impact on growth, productivity, and efficiency.
This next phase moves us from an analog world to a fully digitized one, powered by a digital growth engine that embeds data, technology, and AI into our most critical business domains. Success will require more than technology implementation — it demands a strategic transformation of core capabilities, a domain-based, product-centric operating model, and a cultural shift toward experimentation, data and technology fluency, and seamless partnership between business and digital teams.
Job Description Summary
The Director, Data Engineering 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.
Candidate Profile
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.
Experience & Qualifications
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 required; Japanese proficiency preferred.
Skills:
Location(s):
JapanCity/Cities:
TokyoTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
September 29, 2026Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
Skills Required
- 10+ years of experience in data engineering including ETL/ELT, data platforms, and pipeline operations with leadership progression
- 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 in governance or architecture review forums
- Experience with vendor management and Agile delivery
- Business-level English
- Japanese language proficiency
The Coca-Cola Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Coca-Cola Company and has not been reviewed or approved by The Coca-Cola Company.
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Retirement Support — Retirement benefits are positioned as a standout, combining a 401(k) match with a company-funded cash-balance pension and an employee stock purchase plan match that together materially increase long-term package value.
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Healthcare Strength — Health coverage is described as broad and feature-rich, including national medical coverage plus specialized add-ons like virtual care, second opinions, oncology navigation, fertility support, and chronic-condition programs.
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Leave & Time Off Breadth — Time-off benefits are outlined with structured vacation accrual that increases with tenure and a holiday program that includes both set and floating days.
The Coca-Cola Company Insights
What We Do
The Coca-Cola Company (NYSE: KO) is a total beverage company, offering over 500 brands in more than 200 countries and territories. In addition to the company’s Coca-Cola brands, our portfolio includes some of the world’s most valuable beverage brands, such as AdeS soy-based beverages, Ayataka green tea, Dasani waters, Del Valle juices and nectars, Fanta, Georgia coffee, Gold Peak teas and coffees, Honest Tea, innocent smoothies and juices, Minute Maid juices, Powerade sports drinks, Simply juices, smartwater, Sprite, vitaminwater and ZICO coconut water.
