Location: Atlanta, GA (Global HQ)
Estimated Travel: 0-20% (OU, Bottler meetings, industry conferences)
Direct Reports: None
The Global Equipment Platforms (GEP) team is seeking a highly skilled and experienced Lead Data Engineer to be a core technical contributor to the data backbone for The Coca-Cola Company’s global fleet of 17MM+ connected equipment. Reporting to the Head of Data within GEP Digital, this role is pivotal in transforming raw telemetry data from beverage vending machines, dispensers, coolers, and retail racks into a strategic asset that fuels real-time market insights, predictive analytics, and operational efficiencies across our global ecosystem.
You will be responsible for designing, building, and maintaining robust, secure, and cost-optimized cloud-based data pipelines and platforms, primarily leveraging Microsoft Azure. This includes hands-on development of scalable data ingestion, transformation, and storage solutions capable of handling high-volume, real-time data from a diverse fleet of equipment running on the KO Operating System (KOS) and other embedded systems. This role demands a deep technical expert with a proven track record of solving complex data challenges, ensuring data integrity, scalability, and accessibility for both internal stakeholders and our 200+ global franchise bottlers and OEM partners in a multi-tenant environment.

REQUIRED EXPERIENCE & QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field. Master’s degree preferred.
• 10+ years of hands-on experience in data engineering, with a strong focus on building and operating large-scale data platforms.
• Expert-level proficiency in designing, building, and operating data pipelines and data solutions in Microsoft Azure (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Event Hubs, IoT Hub, ADLS Gen2).
• Deep experience with real-time data streaming architectures and technologies (e.g., Kafka, Azure Event Hubs/IoT Hub).
• Strong programming skills in Python (preferred), Scala, or Java; expert in SQL.
• Extensive experience with big data technologies and distributed computing frameworks (e.g., Spark).
• Solid understanding of data warehousing concepts, dimensional modeling, and data lake architectures.
• Proven track record of implementing robust data quality and security measures.
• Experience with CI/CD practices for data pipelines and infrastructure as code (e.g., Terraform, ARM templates).
• Familiarity with IoT, connected devices, embedded systems, and telemetry data.

SKILLS:

Python (Programming Language); Big Data Platforms; Microsoft Azure; Azure Data Factory; Data Engineering; Azure Synapse Analytics; Azure IoT Hub; Structured Query Language (SQL)
All persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9) upon hire.
Pay Range:$149,000 - $173,000
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:30
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