Sr Manager, Data Engineering Careers at McDonald's - Chicago, IL | Apply Now!
McDonald's
Sr Manager, Data Engineering Careers at McDonald's - Chicago, IL | Apply Now!
Job Description
Sr Manager, Data Engineering at McDonald's: Lead Global Data Transformation
Join McDonald's Global Technology as a Sr Manager, Data Engineering and power the Accelerating the Arches strategy. This senior leadership role within our Data & Analytics team offers the chance to own multiple high-impact data products serving 65M+ daily customers across 25,000+ locations worldwide.
Why Data Engineering Leadership at McDonald's?
McDonald's isn't just the world's leading omni-channel restaurant brand—we're a technology powerhouse driving innovation through our core growth strategy: Double Down on the 3Ds (Delivery, Digital, Drive Thru). Our Global Technology team pioneers AI, robotics, and emerging technologies to digitize the Golden Arches while maintaining our unparalleled global scale.
As Sr Manager, Data Engineering, you'll lead complex tech challenges where feel-good moments meet fast-paced execution. Our diverse teams of top global talent thrive in this environment, delivering scalable data solutions that reshape business operations, industry standards, and communities worldwide.
Your Impact: Owning the Data Product Lifecycle
This role demands deep expertise in data product lifecycle management, from strategic planning to production deployment. You'll own multiple data products critical to McDonald's digital transformation, ensuring they meet enterprise standards for scalability, security, and performance.
Key Leadership Responsibilities:
- Build and mentor engineering teams driving global data platforms
- Define technical roadmaps aligned with business priorities
- Implement data governance frameworks across 120+ countries
- Drive adoption of cloud-native architectures (AWS, GCP, Azure)
- Partner with AI/ML teams to productionize predictive models
Technical Excellence in a Consumer-Scale Environment
McDonald's data platforms process massive volumes from mobile apps, drive-thru systems, delivery partners, and loyalty programs. Your expertise in ETL/ELT pipelines, real-time streaming (Kafka), big data processing (Spark), and data mesh architectures will directly enable frictionless customer experiences.
Expect to work with cutting-edge technologies powering personalized recommendations, dynamic pricing, supply chain optimization, and operational analytics—all at global scale.
Career Growth in Global Technology
McDonald's invests heavily in talent development. As a senior leader, you'll access:
- Executive visibility: Regular collaboration with C-suite technology leaders
- Global impact: Influence data strategy across all markets
- Innovation budget: Dedicated R&D for emerging technologies
- Technical blog contributions: Showcase your work on McDonald's Global Technology Technical Blog
What Success Looks Like
Top candidates demonstrate:
- 10+ years data engineering experience, 5+ years leadership
- Proven delivery of enterprise data products
- Expertise in modern data stack (Snowflake, Databricks, dbt)
- Strong communication bridging technical and business teams
- Passion for consumer technology and restaurant innovation
Competitive Compensation & Benefits
Earn $180K-$240K base + 25% bonus in a comprehensive package including 401(k) match, unlimited PTO, free meals, global mobility, and $10K annual learning budget. Join a company named to Fortune's Best Companies to Work For list.
Locations & Work Style
Primary hub in Chicago, IL with opportunities in New York, San Francisco, Austin, and remote flexibility for exceptional candidates. Our modern offices feature collaborative spaces, free McDonald's, and wellness amenities.
Ready to Accelerate the Arches?
Apply now to lead McDonald's data engineering transformation. This is senior-level leadership at the intersection of global scale and technical innovation. Your data products will power 65M+ daily feel-good moments.
McDonald's Global Technology: Where technology meets happiness, one data pipeline at a time.
Locations
- Chicago, Illinois, USA
- New York, New York, USA
- San Francisco, California, USA (Remote)
- Austin, Texas, USA (Remote)
Salary
189,000 - 264,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Engineering Leadershipintermediate
- Data Product Lifecycle Managementintermediate
- Cloud Data Platforms (AWS, Azure, GCP)intermediate
- ETL Pipeline Developmentintermediate
- Big Data Technologies (Spark, Hadoop)intermediate
- Data Governance & Standardsintermediate
- SQL & NoSQL Databasesintermediate
- Python & Scala Programmingintermediate
- CI/CD for Data Pipelinesintermediate
- Data Mesh Architectureintermediate
- Kubernetes & Dockerintermediate
- Real-time Data Streaming (Kafka)intermediate
- AI/ML Data Infrastructureintermediate
Required Qualifications
- 10+ years of experience in data engineering with 5+ years in leadership roles managing engineering teams (experience)
- Deep expertise in data product lifecycle management from ideation to production deployment (experience)
- Proven track record leading multiple data products in enterprise-scale environments (experience)
- Strong understanding of data governance, standards, and best practices in global organizations (experience)
- Hands-on experience with cloud-native data platforms (AWS, Azure, or GCP) (experience)
- Expertise in building scalable ETL/ELT pipelines using Spark, Airflow, or similar tools (experience)
- Experience implementing data mesh or domain-driven data architectures (experience)
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- Demonstrated ability to mentor senior engineers and drive technical excellence (experience)
- Experience working in fast-paced, consumer-facing technology environments (experience)
Responsibilities
- Lead and own multiple data products within McDonald's Global Data & Analytics organization
- Define and execute data engineering strategy aligned with Accelerating the Arches growth strategy
- Manage end-to-end data product lifecycle including requirements gathering, design, development, and operations
- Build and mentor high-performing data engineering teams across global locations
- Establish and enforce enterprise data standards, governance, and best practices
- Design scalable data architectures supporting 65M+ daily customer transactions
- Drive adoption of modern data technologies including cloud platforms, streaming, and AI infrastructure
- Collaborate with product managers, data scientists, and business stakeholders to deliver business value
- Implement CI/CD pipelines and observability for production data systems
- Partner with Global Technology teams to support Delivery, Digital, and Drive Thru initiatives
- Lead technical roadmaps and innovation projects leveraging AI, robotics, and emerging technologies
- Ensure data platforms meet performance, security, and compliance requirements at global scale
Benefits
- general: Annual performance bonus up to 25% of base salary
- general: Comprehensive medical, dental, and vision insurance with low premiums
- general: 401(k) matching up to 6% of eligible compensation
- general: 15+ days PTO plus paid company holidays and floating holidays
- general: Paid parental leave (16 weeks fully paid)
- general: Annual professional development budget ($5,000+)
- general: Hybrid work flexibility with modern office spaces
- general: Free McDonald's meals daily plus restaurant discounts
- general: Global mobility opportunities across 120+ countries
- general: Wellness programs including gym membership reimbursement
- general: Stock purchase plan with employee discount
- general: Mental health support through Employee Assistance Program
- general: Tuition reimbursement up to $10,000 annually
Tags & Categories
Answer 10 quick questions to check your fit for Sr Manager, Data Engineering Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.
Related Books and Jobs
Sr Manager, Data Engineering Careers at McDonald's - Chicago, IL | Apply Now!
McDonald's
Sr Manager, Data Engineering Careers at McDonald's - Chicago, IL | Apply Now!
Job Description
Sr Manager, Data Engineering at McDonald's: Lead Global Data Transformation
Join McDonald's Global Technology as a Sr Manager, Data Engineering and power the Accelerating the Arches strategy. This senior leadership role within our Data & Analytics team offers the chance to own multiple high-impact data products serving 65M+ daily customers across 25,000+ locations worldwide.
Why Data Engineering Leadership at McDonald's?
McDonald's isn't just the world's leading omni-channel restaurant brand—we're a technology powerhouse driving innovation through our core growth strategy: Double Down on the 3Ds (Delivery, Digital, Drive Thru). Our Global Technology team pioneers AI, robotics, and emerging technologies to digitize the Golden Arches while maintaining our unparalleled global scale.
As Sr Manager, Data Engineering, you'll lead complex tech challenges where feel-good moments meet fast-paced execution. Our diverse teams of top global talent thrive in this environment, delivering scalable data solutions that reshape business operations, industry standards, and communities worldwide.
Your Impact: Owning the Data Product Lifecycle
This role demands deep expertise in data product lifecycle management, from strategic planning to production deployment. You'll own multiple data products critical to McDonald's digital transformation, ensuring they meet enterprise standards for scalability, security, and performance.
Key Leadership Responsibilities:
- Build and mentor engineering teams driving global data platforms
- Define technical roadmaps aligned with business priorities
- Implement data governance frameworks across 120+ countries
- Drive adoption of cloud-native architectures (AWS, GCP, Azure)
- Partner with AI/ML teams to productionize predictive models
Technical Excellence in a Consumer-Scale Environment
McDonald's data platforms process massive volumes from mobile apps, drive-thru systems, delivery partners, and loyalty programs. Your expertise in ETL/ELT pipelines, real-time streaming (Kafka), big data processing (Spark), and data mesh architectures will directly enable frictionless customer experiences.
Expect to work with cutting-edge technologies powering personalized recommendations, dynamic pricing, supply chain optimization, and operational analytics—all at global scale.
Career Growth in Global Technology
McDonald's invests heavily in talent development. As a senior leader, you'll access:
- Executive visibility: Regular collaboration with C-suite technology leaders
- Global impact: Influence data strategy across all markets
- Innovation budget: Dedicated R&D for emerging technologies
- Technical blog contributions: Showcase your work on McDonald's Global Technology Technical Blog
What Success Looks Like
Top candidates demonstrate:
- 10+ years data engineering experience, 5+ years leadership
- Proven delivery of enterprise data products
- Expertise in modern data stack (Snowflake, Databricks, dbt)
- Strong communication bridging technical and business teams
- Passion for consumer technology and restaurant innovation
Competitive Compensation & Benefits
Earn $180K-$240K base + 25% bonus in a comprehensive package including 401(k) match, unlimited PTO, free meals, global mobility, and $10K annual learning budget. Join a company named to Fortune's Best Companies to Work For list.
Locations & Work Style
Primary hub in Chicago, IL with opportunities in New York, San Francisco, Austin, and remote flexibility for exceptional candidates. Our modern offices feature collaborative spaces, free McDonald's, and wellness amenities.
Ready to Accelerate the Arches?
Apply now to lead McDonald's data engineering transformation. This is senior-level leadership at the intersection of global scale and technical innovation. Your data products will power 65M+ daily feel-good moments.
McDonald's Global Technology: Where technology meets happiness, one data pipeline at a time.
Locations
- Chicago, Illinois, USA
- New York, New York, USA
- San Francisco, California, USA (Remote)
- Austin, Texas, USA (Remote)
Salary
189,000 - 264,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Engineering Leadershipintermediate
- Data Product Lifecycle Managementintermediate
- Cloud Data Platforms (AWS, Azure, GCP)intermediate
- ETL Pipeline Developmentintermediate
- Big Data Technologies (Spark, Hadoop)intermediate
- Data Governance & Standardsintermediate
- SQL & NoSQL Databasesintermediate
- Python & Scala Programmingintermediate
- CI/CD for Data Pipelinesintermediate
- Data Mesh Architectureintermediate
- Kubernetes & Dockerintermediate
- Real-time Data Streaming (Kafka)intermediate
- AI/ML Data Infrastructureintermediate
Required Qualifications
- 10+ years of experience in data engineering with 5+ years in leadership roles managing engineering teams (experience)
- Deep expertise in data product lifecycle management from ideation to production deployment (experience)
- Proven track record leading multiple data products in enterprise-scale environments (experience)
- Strong understanding of data governance, standards, and best practices in global organizations (experience)
- Hands-on experience with cloud-native data platforms (AWS, Azure, or GCP) (experience)
- Expertise in building scalable ETL/ELT pipelines using Spark, Airflow, or similar tools (experience)
- Experience implementing data mesh or domain-driven data architectures (experience)
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- Demonstrated ability to mentor senior engineers and drive technical excellence (experience)
- Experience working in fast-paced, consumer-facing technology environments (experience)
Responsibilities
- Lead and own multiple data products within McDonald's Global Data & Analytics organization
- Define and execute data engineering strategy aligned with Accelerating the Arches growth strategy
- Manage end-to-end data product lifecycle including requirements gathering, design, development, and operations
- Build and mentor high-performing data engineering teams across global locations
- Establish and enforce enterprise data standards, governance, and best practices
- Design scalable data architectures supporting 65M+ daily customer transactions
- Drive adoption of modern data technologies including cloud platforms, streaming, and AI infrastructure
- Collaborate with product managers, data scientists, and business stakeholders to deliver business value
- Implement CI/CD pipelines and observability for production data systems
- Partner with Global Technology teams to support Delivery, Digital, and Drive Thru initiatives
- Lead technical roadmaps and innovation projects leveraging AI, robotics, and emerging technologies
- Ensure data platforms meet performance, security, and compliance requirements at global scale
Benefits
- general: Annual performance bonus up to 25% of base salary
- general: Comprehensive medical, dental, and vision insurance with low premiums
- general: 401(k) matching up to 6% of eligible compensation
- general: 15+ days PTO plus paid company holidays and floating holidays
- general: Paid parental leave (16 weeks fully paid)
- general: Annual professional development budget ($5,000+)
- general: Hybrid work flexibility with modern office spaces
- general: Free McDonald's meals daily plus restaurant discounts
- general: Global mobility opportunities across 120+ countries
- general: Wellness programs including gym membership reimbursement
- general: Stock purchase plan with employee discount
- general: Mental health support through Employee Assistance Program
- general: Tuition reimbursement up to $10,000 annually
Tags & Categories
Answer 10 quick questions to check your fit for Sr Manager, Data Engineering Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.
Related Books and Jobs