Senior Manager, Data Engineering

McDonald’s Corporation

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$167,366–$209,207 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $188k
$128k most similar roles pay here $234k

This role pays more than 55% of similar roles. Most pay $138,525–$217,750 — the shaded band above. At the midpoint, this role pays about $188k versus about $178k for comparable roles.

Based on 240 similar postings.

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 43 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 26 roles with salary data.

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View all roles at McDonald’s Corporation

At a glance

TL;DR · Senior Manager, Data Engineering

Sr Manager, Data Engineering will serve as the technical lead for the mCDP mParticle ecosystem, overseeing architecture, engineering direction, scalability, and reliability. This role involves designing complex distributed systems to manage customer data ingestion, identity resolution, audience management, and activation across digital and restaurant channels. The successful candidate will build real-time data pipelines, develop enterprise-scale segmentation capabilities, and establish standards for data models, event governance, and observability. Key technical requirements include experience with Customer Data Platforms like mParticle or Segment, as well as Kafka, Spark, Flink, Dataflow, or Beam. The role requires expertise in cloud platforms such as GCP, AWS, or Azure, alongside proficiency in microservices, CI/CD, Infrastructure as Code, and DevSecOps. This position solves the challenge of creating privacy-compliant, high-volume customer data products to enable personalized cross-channel experiences.

What you'll do

  • Lead the architecture and evolution of the mCDP and mParticle ecosystem to deliver scalable customer data capabilities.
  • Design and optimize real-time data pipelines for customer, transactional, and behavioral data processing.
  • Build scalable streaming architectures and identity resolution frameworks to enable cross-channel personalization.
  • Develop enterprise-scale audience and segmentation capabilities while ensuring privacy and consent compliance.
  • Own the engineering of customer data products including profiles, preferences, and consent records.
  • Establish standards for data quality, reliability, observability, and automated testing across the platform.
  • Serve as the technical authority for mParticle by driving architecture reviews and modernizing infrastructure.
  • Partner with cross-functional teams to define integration patterns and ensure compliance by design.

What we're looking for

  • Experience with Customer Data Platforms such as mParticle, Segment, Adobe RTCDP, or Tealium (preferred).
  • Expertise in large-scale distributed systems and event-driven architecture (preferred).
  • Experience with real-time processing frameworks like Kafka, Spark, Flink, Dataflow, or Beam (preferred).
  • Experience designing high-volume APIs, microservices, and cloud-native applications (preferred).
  • Hands-on expertise with cloud platforms such as GCP, AWS, or Azure (preferred).
  • Understanding of customer identity, profile unification, consent management, and audience activation patterns (preferred).
  • Experience implementing observability solutions, monitoring frameworks, and reliability engineering practices (preferred).
  • Proficiency in CI/CD, Infrastructure as Code, automated testing, and DevSecOps principles (preferred).

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