Strategic Director, Data Architecture & AI Platforms

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

Job summary

The Coca-Cola Company in Atlanta, GA seeks a Senior Director, Data Architecture & Engineering to define and execute a modern data platform strategy across NAOU. You will lead the design and evolution of data lakes, lakehouses, warehouses, and AI-enabled analytics to deliver trusted insights.

This role requires a visionary yet hands-on leader who can build high-performing teams, promote MLOps, and collaborate with Global Data and business stakeholders to accelerate growth and self-service

Qualifications

• 12+ years engineering leadership experience.
• 8+ years in data processing and Spark
• Strong communication skills bridging business and technology.
• Experience leading large-scale data projects and mentoring senior staff.
• Cloud analytics architectures and data platform delivery.

Responsibilities

• Lead strategic technical leadership across Data Lake, Lakehouse, Data Warehouse, AI/ML, and self-service analytics platforms.
• Mentor data engineering leads and professionals, fostering learning and career progression.
• Promote software engineering best practices with modular design, testing, and CI/CD adoption.
• Architect reusable data engineering frameworks and internal libraries across Medallion architectures.
• Tune Spark workloads, optimize memory/partitioning, and optimize batch/streaming pipelines.
• Partner with cloud and Fabric teams to balance performance with cost efficiency.

Skills

Engineering Leadership

Stakeholder Engagement

Delivery Leadership

Agile Development

Data Architecture

Education

Bachelor's degree in CS/Engineering/Data Science

Advanced degree preferred

Tools

Microsoft Fabric

Azure Data Services

OneLake

Synapse

Databricks

Spark

Power BI

Job description

The Coca-Cola Company in Atlanta, GA seeks a Senior Director, Data Architecture & Engineering to define and execute a modern data platform strategy across NAOU. You will lead the design and evolution of data lakes, lakehouses, warehouses, and AI-enabled analytics to deliver trusted insights.

This role requires a visionary yet hands-on leader who can build high-performing teams, promote MLOps, and collaborate with Global Data and business stakeholders to accelerate growth and self-service