Data Platform Director: Architect AI-Driven Data Ecosystems

Coca-Cola HBC

Atlanta (GA)

On-site

USD 202,000 - 229,000

Full time

5 days ago
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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

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

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