Principal Data Engineer
At a glance
AI generatedTL;DR
As a Principal Data Engineer in McDonald’s Audience Network team, you will lead the technical direction and architecture of a new platform designed to create, activate, and measure customer audiences across various ecosystems. Your day-to-day responsibilities include defining the end-to-end architecture, establishing engineering standards, and designing privacy-safe systems that produce trusted audience data for downstream use by Data Science, Analytics, AdTech teams, and external partners. You will leverage cloud-native platforms like GCP, work with batch and event-driven data systems, and utilize tools such as Airflow for workflow orchestration. Essential skills include expertise in large-scale data system development, data governance, and privacy-by-design principles to ensure the platform’s scalability and compliance with regulatory requirements.
Skills
What you'll do
- Define and own the end-to-end architecture for the Audience Network platform.
- Establish privacy-by-design principles and data governance standards.
- Architect scalable workflows for audience segmentation and feature engineering.
- Enable near real-time and batch processing for activation service level agreements (SLAs).
- Mentor engineers and raise engineering standards across teams.
What we're looking for
- 10+ years of experience building large-scale data systems
- Expertise in cloud-native platforms (preferably GCP)
- Experience with batch and event-driven data systems
- Workflow orchestration skills using tools like Airflow
- Strong understanding of data governance and privacy principles
- Experience supporting machine learning workflows
Employer
About McDonald’s Corporation
McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.
McDonald’s Corporation currently has 64 open roles on FindRole.
Listed pay typically runs $138,207–$172,758 across 62 roles with salary data.
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