Manager, Data Product Engineering Tech Lead

McDonald’s Corporation

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$138,207–$172,758 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $155k
$127k $242k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $174,700–$230,062 — the blue band above. At the midpoint, this role pays about $155k versus about $202k 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 11 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 10 roles with salary data.

Most-posted roles

View all roles at McDonald’s Corporation

At a glance

TL;DR · Manager, Data Product Engineering Tech Lead

The Manager, Data Product Engineering Tech Lead joins the Global Technology Data and Analytics team to own the delivery of data initiatives across the global data product landscape. This role involves leading data engineers to design, build, and maintain scalable, secure, and standardized data applications and architectures. Key responsibilities include developing technical roadmaps, managing third-party vendors, defining non-functional requirements, and overseeing testing strategies for internal and external development teams. The position requires proficiency in SQL, Java, XML, S3, NoSQL, Kafka, and Spark, alongside experience with Web Services, APIs, and Microservices. The role solves complex technical problems by connecting data flows across global systems, managing technical debt, and ensuring high levels of resilience and scale within a complex, global matrix organization using Agile product development methodologies.

What you'll do

  • Develop the data product’s target technical roadmap and key technology decisions to ensure first-time data quality.
  • Architect and define a systems landscape to connect data flows across all McDonald's data systems.
  • Lead the discovery, solution design, and delivery of secure, standardized data applications and services.
  • Provide people leadership for data engineers, including professional development and resource management.
  • Manage technical interdependencies and interfaces between products and external 3rd party technology vendors.
  • Define critical non-functional requirements and establish best practices for identifying and managing technical risks.
  • Create and execute testing strategies for functional, integration, and performance testing of internal and external development teams.
  • Advocate for a rationalized data footprint by driving the decommissioning of redundant processes and systems.

What we're looking for

  • BS in Computer Science or related field is required.
  • 6+ years of technically focused experience in technologies such as Web Services, Java, XML, S3, NoSQL, Kafka, and Spark.
  • 5+ years of proficiency in SQL with a solid understanding of database concepts.
  • Sound understanding of Event, Workflow, and Application driven Data Architecture, including API and Microservices management.
  • Seasoned technical leader with hands-on development and deployment experience.
  • Experience partnering with stakeholders across an at-scale, complex, global matrix organization.
  • Experience leading large cross-functional teams to align and deliver projects.
  • Experience with creating and executing testing strategies for functional, integration, and performance testing.

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