Senior Director, Data Architecture & Engineering

Coca-Cola HBC; Atlanta (GA); On-site; USD 202,000 - 229,000; Full time

Job summary

The Coca-Cola Company, Atlanta, GA, is seeking a Senior Director for Data Architecture & Engineering to lead the NAOU data strategy, architecture, and AI-enabled platforms. The role demands strategic vision, hands-on depth, and a track record of delivering scalable data products and platforms that enable self-service analytics and enterprise reporting.

You will guide modernization across Data Lake, Lakehouse, Data Warehouse, AI/ML, and self-service analytics, while inspiring high-performing

Qualifications

• Engineering leadership experience managing large data teams
• Strong stakeholder engagement across business, tech and product
• 8+ years software engineering in enterprise environments
• 8+ years data processing with Spark and related architectures
• DevOps proficiency: Git, GitHub Actions, CI/CD practices
• Experience delivering Agile projects and collaborating globally
• Expertise with Microsoft Fabric, Azure Data Services, OneLake, Synapse, Databricks and Power BI

Responsibilities

• Provide strategic technical leadership across NAOU data platforms
• Develop and mentor high-performing data engineering teams
• Advance engineering excellence with modular design and continuous testing
• Architect reusable data frameworks and libraries across pipelines
• Tune Spark workloads and optimize large-scale batch/streaming processing
• Partner with cloud and Fabric teams to balance performance and cost

Skills

Engineering Leadership

Stakeholder Engagement

Software Engineering

Data Processing & Spark

DevOps & CI/CD

Delivery & Agile

Microsoft Fabric & Azure

Tools

Microsoft Fabric

Azure Data Services

OneLake

Synapse

Databricks

Spark

Power BI

Job description

Job Description Summary

At The Coca-Cola Company, data is a strategic asset that powers personalized experiences, accelerates decision-making, and enables sustainable growth in a digital-first world. As part of the North America Operating Unit (NAOU) Digital & Data organization, the Data Analytics & Engineering team is responsible for delivering scalable data, analytics, and AI capabilities that empower the business with trusted insights and intelligent decision support. The Senior Director, Data Architecture & Engineering serves as a key technology leader responsible for defining and executing the NAOU data architecture, engineering, and AI-enabled data platform strategy. This role leads the design and evolution of modern data ecosystems, ensuring scalable, secure, governed, and high-performing data foundations that support advanced analytics, artificial intelligence, and enterprise reporting capabilities. Working closely with the Global Data organization, Data Solution Owners, Data & Insights teams, enterprise architects, and business stakeholders, this leader aligns NAOU priorities with enterprise standards while driving innovation, modernization, and operational excellence across the data landscape. The role requires a strong balance of strategic vision and technical depth, with accountability for translating complex business needs into scalable data products, platforms, and architecture roadmaps that deliver measurable business value. The ideal candidate is a visionary yet hands‑on leader who champions modern engineering practices, data product thinking, AI-first capabilities, and platform enablement. They will cultivate high-performing teams, foster a culture of innovation and continuous improvement, and ensure data investments accelerate growth, enhance productivity, enable self‑service analytics, and strengthen Coca-Cola's digital capabilities across North America.

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 Enterprise Data Engineering strategy. Lead modernization initiatives across Data Lake, Lakehouse, Data Warehouse, AI/ML, and self-service analytics platforms.
• Develop and Inspire High‑Performing Teams: Lead and mentor a diverse team of data engineering leads and professionals, building capabilities in advanced data architectures, fostering a culture of learning, and supporting career progression.
• Drive Engineering Excellence: Promote software engineering best practices by advancing modular design, functional programming standards, and continuous testing across all data pipelines, products, and platform solutions. Drive adoption of Microsoft Fabric, OneLake, Azure Data Services, Power BI, AI, and machine learning capabilities.
• Architect Reusable Frameworks and Libraries: Drive the design and development of extensible, shared data engineering frameworks and internal libraries. Standardize pipeline creation, accelerate the delivery of robust data products, and minimize code duplication across Medallion architectures and distributed workloads.
• Enhance Performance and Optimization: Apply advanced techniques for Spark workload tuning, addressing memory, partitioning, and query planning to deploy efficient, large‑scale batch and streaming data engineering processes.
• Enable Platform Resiliency and Cost Efficiency: Partner with cloud and Fabric service teams to optimize data infrastructure workloads at scale, balancing operational performance with fiscal stewardship while supporting Coca-Cola’s digital transformation objectives.

Required Qualifications & Experience

• Engineering Leadership (12+ years): Proven experience managing, mentoring, and scaling software or data engineering teams, with a strong track record of leading complex data projects and developing senior engineering staff.
• Stakeholder Engagement: Strong communication skills, partnering effectively across business, technology, and product teams to deliver scalable data solutions aligned to enterprise objectives.
• Software Engineering (8+ years): Experience leading managers, architects, and engineering teams in large‑scale enterprise environments.
• Data Processing & Spark Expertise (8+ years): Deep, hands‑on experience building, debugging, and optimizing distributed computing applications and large‑scale data pipelines using Apache Spark. Deep understanding of Data Lake, Lakehouse, Data Warehouse, Data Mesh, Data Products, and modern cloud analytics architectures.
• DevOps & CI/CD: Proven ability to build automated release cycles. Hands‑on expertise with Git, GitHub Actions, and other DevOps tools is preferred.
• Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.
• Strong expertise with Microsoft Fabric, Azure Data Services, OneLake, Synapse, Databricks, Spark ecosystems, and Power BI.

Preferred Qualifications

• Proven success establishing enterprise DataOps, MLOps, DevOps, and governance frameworks.
• Experience working in a global enterprise environment and managing strategic vendor partnerships.
• Background in platform cost governance and workload performance modeling at enterprise scale.

Skills

• Big Data Architecture
• Data Architecture Development
• Data Designing
• Data Lakehouse Architecture
• Data Warehouse Architecture
• Microsoft Data Architecture

Pay Range

United States of America: 202,000 USD - 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

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

August 28, 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.

Equal Opportunity

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.

Privacy and Personal Information

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.

Company Overview

The Coca-Cola Company is a global community of passionate employees who are refreshing the world and making a difference every day. Innovation has been at the heart of our story since 1886. It goes beyond new flavors and brands. Learn more about our system and how we’re making an impact. As a global organization, we seek opportunities to embrace and champion progress. Our careers span across functions and are globally connected to give you an unmatched career experience.

System Overview

The Coca-Cola global business system is composed of The Coca-Cola Company (TCCC), its subsidiaries and 225 bottling partners around the world.