Senior Director, Data Integrations

coke; Atlanta (GA); On-site; USD 202,000 - 229,000; Full time

Job summary

The Coca-Cola Company is seeking a senior data engineering leader in Atlanta to drive strategic technical direction and mentor a high-performing team. You will shape scalable data architectures, champion modern data engineering practices, and oversee cost governance across Microsoft Fabric.

You will lead multi-team initiatives, advance streaming and batch processing, and partner with business, technology, and product teams to align with enterprise objectives.

Qualifications

• Bachelor's degree in computer science, Engineering, Data Science, or a related field; advanced degree preferred.
• 10+ years of experience 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.

Responsibilities

• Provide strategic technical leadership across multiple teams to align with Data Integration strategy.
• Develop and mentor a diverse team of data integration professionals.
• Promote engineering practices with modular design and testing.
• Design scalable data architectures using Spark/Scala in Microsoft Fabric.
• Tune Spark workloads for memory, partitioning, and query planning.
• Drive Data FinOps and cloud cost governance for Fabric and cloud infra.

Skills

Scala

JVM

Data engineering

Data integration

Apache Spark

Functional programming

Git

GitHub Actions

Maven/SBT

Agile/Scrum

Education

Bachelor's degree in CS/Engineering/Data Science

Advanced degree preferred

Tools

Git

GitHub Actions

Maven/SBT

Job description

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

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.