Sr Manager, Data Engineering
Date: Oct 16, 2025
Location: Chicago, IL, US, 60607
Company: McDonald's Corporation
Company Description:
McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald’s Global Technology is here to power tomorrow’s feel-good moments.
That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald’s Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald’s is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function—marketing, operations, supply chain, and more—through seamless integration of business and technology.
The Sr Manager, Data Engineering will be responsible for building scalable and efficient data solutions to support Digital Payments in the Data Analytics, Architecture and AI group. As a Senior Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted financial data, supports decision-making, and partners with business and technology teams to align data capabilities with strategic finance objectives. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
McDonald’s is hiring a Sr Manager of Data Engineering, focused on Digital Payments data ingestion, curation and analytics. This area covers data flowing from our payment providers and McDonald's payment services. This role sits within Data Analytics, Architecture and AI. This group manages data from various areas of the business, including Sales, Restaurant, Finance and People, and many more. You will work alongside passionate data engineering professionals and business stakeholders focused on Digital Payments, Treasury and MarTech.
Responsibilities
- Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
- Develop strategies for scaling Financial Analytics data products across the organization, ensuring solutions are adaptable and future-ready
- Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices
- Ensure data quality and integrity through audits, validation processes as per financial regulations per country, and governance frameworks.
- Collect feedback from business stakeholders and end-users to continuously improve financial data products and align with evolving business requirements.
- Collaborate with cross-functional teams to ensure data solutions are aligned with business and financial analytical needs.
- Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction.
- Ensure comprehensive documentation for each financial data product, covering technical specifications, use cases, and performance metrics
- Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery in Finance Analytics.
- Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders.
- Conduct performance reviews, coach team members, and support career development initiatives.
- Champion upskilling and training across the engineering team to ensure continued excellence in delivering finance-related solutions.
- Ability and flexibility to coordinate and work with teams distributed across time zones, as needed..
Qualifications
- Bachelor's degree or higher in Computer Science, Engineering, or a related field
- 8+ years of professional experience in data engineering or related domains
- 4+ years of AWS or GCP experience
- Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi)
- Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL)
- Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices
- Proven success in managing and scaling data engineering teams in complex environments.
- Deep understanding of Data Product Lifecycle, Standards and Practices.
- Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively
- Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
- A self-initiated influencer, Systems thinker and strong stakeholder management.
- Exceptional problem-solving and innovation skills with a strategic mindset
Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
The expected salary range for this role is $149,260 - $190,310 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Competencies
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.
McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.
McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Nearest Major Market: Chicago