Senior Director, Data Integrations

Job Description Summary:

At   The Coca - Cola   C ompany , 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 tunin g -   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

Our 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.