The Coca-Cola Company
The Coca-Cola Company

Director, Marketing Data Engineering

Atlanta, GA, US • Posted 17 hours ago • Updated 5 hours ago
Full Time
On-site
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Fitment

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Job Details

Skills

  • Integrated Marketing
  • Science
  • Advanced Analytics
  • Innovation
  • Decision-making
  • Writing
  • Data Architecture
  • Streaming
  • Customer Relationship Management (CRM)
  • Adobe
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Meta-data Management
  • Technical Drafting
  • Version Control
  • Collaboration
  • Release Management
  • Testing
  • Code Refactoring
  • Artificial Intelligence
  • Privacy
  • Operational Excellence
  • Data Quality
  • Incident Management
  • Root Cause Analysis
  • Scalability
  • Cloud Computing
  • Marketing Analytics
  • Accountability
  • Computer Science
  • Information Systems
  • Data Engineering
  • IT Management
  • Mentorship
  • SQL
  • Python
  • PySpark
  • Data Modeling
  • Extract
  • Transform
  • Load
  • ELT
  • Orchestration
  • Performance Tuning
  • Microsoft Azure
  • Databricks
  • Data Lake
  • Storage
  • Analytics
  • DevOps
  • Code Review
  • Automated Testing
  • Continuous Integration
  • Continuous Delivery
  • Terraform
  • GitHub
  • Documentation
  • Media
  • Marketing

Summary

The NAOU Marketing Data team is responsible for building the data foundation, engineering capabilities, and analytics solutions that enable better marketing decisions across North America. The team connects data, technology, and insights to create scalable capabilities that support consumer understanding, marketing effectiveness, measurement, personalization, and AI-driven decision-making.

Working across Marketing, Integrated Marketing Experience (IMX), Human Sciences, Advanced Analytics, MarTech, Digital Technology, and enterprise data teams, the organization helps transform data into a strategic asset that drives growth, innovation, and business impact.

Role Overview

The Director, Data Engineering will lead the hands-on design, development, and operation of scalable marketing data pipelines and curated data products across Microsoft Azure. The role transforms internal and external data into trusted, governed, reusable assets for analytics, measurement, activation, personalization, and AI-enabled decision-making.

This player-coach will set engineering standards while actively designing solutions, writing and reviewing code, and resolving complex issues. The role partners with Marketing Data Architecture, Marketing Analytics, MarTech, Digital Technology, and enterprise data teams to deliver secure, reliable, observable, and cost-effective capabilities.

What You Will Do for Us
  • Design & Build Azure Data Pipelines: Personally design, code, test, deploy, and operate scalable batch and streaming pipelines across Azure. Integrate consumer, media, commerce, CRM, loyalty, Adobe, and enterprise data sources using reusable engineering patterns.
  • Curate Trusted, AI-Ready Data Products: Build standardized, documented datasets and data products that are accurate, discoverable, reusable, and ready for analytics, machine learning, and generative AI. Apply strong data modeling, metadata, lineage, and data contract practices.
  • Lead Hands-On Engineering & Technical Design: Translate business and architecture requirements into production-grade solutions. Create technical designs, write and review Python, SQL, and PySpark code, troubleshoot complex issues, and balance speed, scale, quality, and maintainability.
  • Establish GitHub Engineering & DevOps Practices: Use GitHub for source control, pull requests, code reviews, documentation, and collaboration. Implement automated testing, CI/CD, infrastructure as code, release management, and secure development practices.
  • Use AI-Assisted Development Responsibly: Use Codex, Cursor, and GitHub Copilot to accelerate design, coding, testing, refactoring, and documentation. Establish validation and security guardrails so AI-generated code meets enterprise engineering, privacy, and quality standards.
  • Ensure Reliability, Quality & Operational Excellence: Build monitoring, observability, alerts, data quality controls, and service expectations into every pipeline. Lead incident response and root-cause analysis while optimizing performance, scalability, security, and cloud cost.
  • Partner, Deliver & Develop Engineering Talent: Partner across Marketing, Analytics, Architecture, MarTech, and Digital Technology to deliver high-value capabilities. Mentor engineers through hands-on pairing and code reviews, raising standards and fostering accountability, curiosity, and continuous learning.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree preferred.
  • 10+ years of hands-on data engineering or platform experience, including technical leadership of production-scale solutions and mentoring engineers.
  • Expert SQL and strong Python/PySpark skills across data modeling, ETL/ELT, distributed processing, orchestration, quality, observability, and performance tuning.
  • Hands-on experience with Azure data services such as Data Factory, Fabric, Databricks, Data Lake Storage, Synapse Analytics, Functions, or Event Hubs.
  • Strong GitHub and DevOps experience with code review, automated testing, CI/CD, infrastructure as code using Terraform or Bicep, and automated deployment.
  • Practical experience with Codex, Cursor, or GitHub Copilot, including disciplined validation of generated code, tests, security, and documentation.
  • Experience engineering consumer, media, customer, commerce, or marketing data from 1st party, 2nd party, and 3rd party sources in a matrixed organization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: coke
  • Position Id: R-145196
  • Posted 17 hours ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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