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 materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.
The Manager, Data Engineer
will be responsible for the design, development, and operational excellence of the CPS data platform. This role combines people leadership, technical oversight, and strategic partnership to enable scalable, reliable, and secure data solutions that support data-driven decision-making across global plant operations and supply networks.
What You'll Do For Us
Serve as a senior technical leader and subject matter expert for data engineering solutions
Design, develop, and optimize data pipelines using Azure Data Factory (ADF).
Build and maintain high-performance, scalable data transformations using PySpark, SQL, and Python
Define and enforce 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 mentor other engineers, providing guidance without direct people management
Ensure data quality, reliability, monitoring, and performance of production data pipelines
Support roadmap planning, estimation, and prioritization for data engineering initiatives
Functional Skills
Strong proficiency in Python, SQL, and distributed data processing.
Hands-on experience with Databricks, Snowflake, or any coding platform.
Strong understanding of data warehousing concepts and analytical database design patterns
Familiarity of job orchestration using tools such as Azure Data Factory (ADF), AWS Glue, etc.
Solid understanding of data architecture, ETL/ELT design, and data modeling
Experience with cloud-native data platforms, CI/CD, and DevOps practices
Familiarity with web-based dashboards or lightweight web development is a plus
Excellent critical thinking, analytical and problem-solving skills
Related Work Experience
3+ years of experience in data engineering, analytics engineering, or software engineering
Experience supporting data platforms for manufacturing, supply chain, or operations environments preferred
Proven experience working with cloud-based data platforms, ideally Microsoft Azure
Education Requirements
Bachelor’s degree in computer science, Engineering, or a related technical field required
Master’s degree preferred
What We Can Do For You
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 exposure 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.
Skills
Analytics; Python (Programming Language); Business Intelligence (BI); Microsoft Azure; Structured Query Language (SQL); organization; Data Architecture; Data Driven; PySpark; SQL Databases; Azure Data Factory; Data Modeling
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Pay Range:$124,600 - $148,200
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Long-term Incentive Reference Value Percentage
Long-term Incentive reference value is a market-based competitive value for your role