Senior Data Engineer

CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta & Drogheda, Ireland). CPS also manages complex additional material supply chains (e.g. juice, coffee, tea, milk, etc.)

on behalf of bottling partners.

Senior Data Engineer will be responsible for the design, development, and operational excellence of the CPS data platform across global plant operations and supply networks. This role provides hands‑on technical leadership, architectural ownership, and strategic partnership while remaining actively involved in data engineering, code reviews, and production support. This role enables scalable, reliable, and secure data solutions that support data‑driven decision‑making across global plant operations and supply networks.

• Serve as the senior‑most individual contributor and subject matter expert for data engineering solutions across CPS
• Own the technical architecture, design decisions, and implementation of the CPS data platform
• Design, develop, and optimized data pipelines using Azure Data Factory (ADF)/Microsoft Fabric
• Design, build, and maintain scalable data pipelines, transformations, and data models using PySpark, SQL, and Python
• Actively contribute code and review/approve pull requests, setting quality and engineering standards
• Define, enforce, and evolve data engineering best practices, standards, and architectural patterns
• Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions
• Lead technical design reviews and provide mentorship and guidance to engineers without direct people management
• Ensure data quality, reliability, monitoring, observability, and performance of production data pipelines
• Influence roadmap planning, estimation, and prioritization for data engineering initiatives
• Drive simplification, standardization, and long‑term maintainability of data pipelines

• Expert‑level proficiency in Python, SQL, and Py Spark
• Hands‑on experience with Databricks, Snowflake, Microsoft Fabric or similar analytics platforms
• Strong understanding of data warehousing concepts, analytical modeling, and performance optimization
• Expertise in orchestration frameworks such as Azure Data Factory (ADF), AWS Glue, Microsoft Fabric or similar
• Deep understanding of data architecture, ETL/ELT design, and scalable data modeling
• Experience with cloud‑native platforms, CI/CD, and Dev Ops practices
• Familiarity with data observability, lineage, and monitoring tooling
• Ability to provide technical leadership through code, reviews, and design guidance
• Excellent critical thinking, analytical and problem‑solving skills

• 5+ years of experience in data engineering, analytics engineering, or software engineering
• Experience supporting data platforms for manufacturing, supply chain, or operations environments strongly preferred
• Proven experience designing and scaling cloud‑based data platforms, ideally on Microsoft Azure

• Bachelor’s degree in computer science, engineering, or a related technical field required
• Master’s degree preferred

• Innovation & Technology:
  The ability to work with an award‑winning team that is on the cutting edge of innovation.
• Exposure to World Class Leaders:
  Availability to global technology leaders that will expand your network and expose you to emerging technologies and techniques.
• Agile Work Environment:
  We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1‑B visa status and other employment‑based non‑immigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the…