Data Engineer

Summary: Our Digital Transformation   The   Coca ‑ Cola   Company 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 KO 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.

Overview   The Director, Data Engineering plays a critical role in enabling   Coca ‑ Cola’s   digital transformation by designing and scaling modern,   enterprise ‑ grade   data platforms that power advanced analytics, artificial intelligence, and   data ‑ driven   decision making. This role focuses on accelerating the shift from fragmented data ecosystems to a unified,   high ‑ quality , and accessible data foundation aligned to business domains.   This leader partners closely with   cross ‑ functional   digital, technology, and business teams to deliver reliable, scalable, and secure data pipelines and platforms that support   end ‑ to ‑ end   use cases. The role requires balancing   near ‑ term   delivery with   long ‑ term   platform strategy while advancing modern engineering practices and embedding data and AI fluency across teams.   What You will do for us Requirements • Architect, build, and scale modern data platforms and pipelines that enable   enterprise ‑ wide   access to   high ‑ quality   data for analytics, reporting, and AI use cases   • Drive the design and implementation of   domain ‑ aligned   data products that support business capabilities and align with a   product ‑ centric   operating model   • Partner with digital product, analytics, and AI teams to translate business needs into scalable data engineering solutions that deliver measurable value   • Establish and enforce data engineering standards, including data quality, governance,   security, and interoperability across systems and domains   • Lead modernization of legacy data environments, enabling migration to   cloud ‑ based   architectures and improving speed, flexibility, and cost efficiency   • Implement best practices in data architecture, including   real ‑ time   and batch processing, data modeling, metadata management, and observability   • Enable AI and advanced analytics by ensuring data readiness, accessibility, and integration across enterprise platforms   • Collaborate with global teams across Functions and Operating Units to align on shared data models, standards, and reusable capabilities   • Build and mentor engineering teams, fostering a culture of continuous learning, innovation, and accountability   • Monitor and optimize platform performance, scalability, and cost, ensuring alignment with business priorities and value realization   • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field   • 10+ years of experience in data engineering, data platform development, or related areas   • Proven experience designing and scaling   cloud ‑ based   data platforms and distributed data systems   • Strong expertise in modern