**Job Description Summary:**At The Coca-Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.This senior leadership role combines deep technical proficiency (hands-on) in modern data engineering with a strategic direction to enable enterprise-scale integration across Coca‐Cola’s Data and Analytics platforms. You will drive both the engineering rigor and the career development of your team.**Core Responsibilities*** **Provide Strategic Technical Leadership:** Champion modern data engineering principles and a systems-thinking approach across multiple teams, ensuring architectural integrity and alignment with Coca‐Cola’s Data Integration strategy.* **Develop and Inspire High-Performing Teams:** Lead and mentor a diverse team of data integration professionals, building capabilities in advanced architectures, fostering a culture of learning, and supporting career progression.* **Drive Engineering Excellence:** Promote engineering practices - advancing modular design, functional programming standards, and continuous testing across all integration solutions.* **Lead Design and Delivery of Scalable Data Architectures:** Shape and implement distributed pipelines and Medallion architectures using technologies such as Apache Spark and Scala within the Microsoft Fabric ecosystem to enable flexible, efficient data integration.* **Enhance Performance and Optimization:** Apply advanced techniques for Spark workload tuning - addressing memory, partitioning, and query planning to deploy efficient batch and streaming processes.* **Drive Data FinOps and Cloud Cost Governance:** Implement robust cost monitoring, workload forecasting, and capacity planning for Microsoft Fabric and associated cloud infrastructure to maximize ROI, ensure efficient compute utilization, and balance fiscal accountability with performance SLAs.**Required Qualifications & Experience*** Bachelor's degree in computer science, Engineering, Data Science, or a related field; advanced degree preferred.* Proven experience (10+ years) directly managing, mentoring, and developing software or data engineering teams.* Strong communication and stakeholder engagement skills, partnering effectively across business, technology, and product teams to deliver scalable solutions aligned to enterprise objectives.* Proven experience managing, mentoring, and scaling software or data engineering teams, with a strong track record of leading complex projects and developing senior engineering staff.* Software Engineering (8+ years): Extensive polyglot development experience on the JVM, with a strict requirement for deep proficiency in Scala. Must demonstrate a strong grasp of functional programming, concurrency models, and modularization.* Spark Expertise (6+ years): Deep, hands-on experience building, debugging and optimizing distributed computing applications using Apache Spark.* DevOps & CI/CD: Proven ability to build automated release cycles. Hands-on expertise with Git, GitHub Actions, and build tools (Maven/SBT, UV are required).* Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.**Preferred Qualifications*** Certification in cloud platforms or data engineering (e.g., Azure Solutions Architect, Databricks Certified Professional).* Background in platform cost governance and workload performance modeling at enterprise scale.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.**Skills:**Data Engineering, Data Integration, Java Virtual Machine (JVM), Software Engineering**Pay Range:**United States: 202,000 - 229,000 USD*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.***Location(s):**United States of America**City/Cities:**Atlanta**Travel Required:**00% - 25%**Relocation Provided:**No**Job Posting End Date:**October 4, 2026