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Sr Enterprise Architect

Job in Chicago, Cook County, Illinois, 60684, USA
Listing for: McDonald's
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Engineering, Data Security, Data Science Manager, Data Analyst
Job Description & How to Apply Below
Job Description:

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 3

Ds (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 in search of an experienced Data Architect with proficiency in data architecture design for advanced analytical solutions, an active participation in data governance initiatives, and ensuring that solutions include security and regulatory compliance. The ideal candidate will possess a track record of designing architectures specifically tailored for advanced data analytics and data warehousing scenarios. This includes understanding the nuances of various data models, ensuring optimal performance, and aligning designs with business needs for analytics or warehousing purposes.

A history of successful collaboration with data strategy teams, data analysts, and other stakeholders to understand and address complex data requirements is crucial.  Your dedication to continuous data architect design and management improvements will contribute significantly to the effectiveness of our data-driven initiatives.

Duties

+ Oversee the design, development, deployment, and management of all data architecture design solutions. Ensure that designs are scalable, flexible, and tailored for advanced analytics and data warehousing scenarios across various database technologies including AWS Redshift, Databricks, Snowflake, and GCP Big Query.

+ Take an active role in data governance initiatives. Collaborate with cross-functional teams to drive best practices, emphasizing data accuracy, security, and ensuring that all architectures are in line with regulatory compliance standards.

+ Utilize tools such as ERwin for advanced data modeling, ensuring optimal schema designs that align with business analytics and warehousing needs.

+ Generate data solution architecture blueprints, data flow diagrams, data impact analysis, and comprehensive data design documents to facilitate understanding and streamline implementation.

+ Regularly liaise with data analysts, business intelligence teams, and other key stakeholders to gather, understand, and address complex data requirements. Ensure that the data solutions designed are both technically sound and aligned with business needs.

+ Regularly review and refine data architectures for optimal performance. Work closely with the database management and analytics teams to identify bottlenecks and implement solutions.

+ Ensure that various data sources, platforms, and tools can seamlessly integrate, allowing for a unified and coherent data landscape.

+ Work closely with the IT security team to ensure that all data architectures adhere to strict security protocols, ensuring data privacy and protection.

+ Stay updated with the latest trends and best practices in…
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