Atlanta, Georgia, United States
Onsite
Not Available
Job Description Summary:
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 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.
What You'll Do for Us
Function Related Activities / Key Responsibilities:
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 optimize 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
What You'll Need
Functional Skills:
Expert-level proficiency in Python, SQL, and PySpark
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 DevOps 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
Related Work Experience:
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
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, Building Architecture, Business Intelligence (BI), Data Architecture Development, Data Modeling, Data Warehousing (DW), Microsoft Azure, Programming Languages, PySpark, Python (Programming Language), Structured Query Language (SQL)Pay Range:
United States of America: 159,600 USD - 187,215 USDBase 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:
15Annual 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.
Location(s):
United States of AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
June 10, 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.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Want to know if this job is worth applying to?
