Data Architect

1 week ago

Chicago, Illinois, United States McDonald's Full time
About the Role

This exciting opportunity is part of the Global Technology Infrastructure & Operations team (GTIO) at McDonald's, where our mission is to deliver modern and relevant technology that supports the way our company works. We provide best-in-class foundational technology products and services, including Global Networking, Cloud, End User Computing, and IT Service Management. Our goal is to always provide an engaging, relevant, and simple experience for our customers.

Key Responsibilities
  • Ensure the quality, accuracy, and usability of McDonald's IT Service Management (ITSM) Configuration Management Database (CMDB).
  • Set the Common Services Data Model (CSDM) standard for McDonald's.
  • Help define and maintain configuration management policies, procedures, processes, and standards.
  • Participate in routine governance activities related to CSDM and data within the ServiceNow platform.
  • Work with internal and external stakeholders to understand product demand and help manage CMDB and platform data requirements, ensuring alignment with CSDM and McDonald's standards.
  • Define data flow architecture for configuration management and other ServiceNow platform data.
  • Help maintain the CMDB maturity roadmap.
  • Build Data Engineering solutions to support Data Warehouse and critical business metrics.
  • Define Data Engineering best practices and guidelines.
  • Work with other architects to design data engineering solutions.
  • Facilitate engineering discussions across the organization.
  • Participate in an inclusive, energetic, and highly multi-functional team.
  • Participate in data normalization efforts as needed prior to ingestion into CMDB.
  • Communicate ideas effectively, verbally and in writing, to a wide range of audiences, including Directors, Sr. Directors, and VPs. Foster a constructive dialogue, harmonize discordant views, and lead the resolution of issues.
  • Decompose significantly complex problems into straightforward solutions. Consistently bring strong, data-driven business and technical judgment to decisions.
Qualifications
  • Willingness and ability to live the McDonald's values every day: Serve, Inclusion, Integrity, Community, and Family.
  • Ability to collaborate with engineers, product managers, data scientists, and analysts on mission-critical data needs to build world-class datasets.
  • 5+ years of professional hands-on experience with ServiceNow Common Service Data Model, data architecture, CMDB design, administration, development, and operation.
  • Detailed knowledge of the ServiceNow platform, hands-on experience in ServiceNow modules (CMDB/ITSM, ITOM Discovery, Portal, Mobile, and Automation).
  • ITIL Foundation or above certification.
  • Experience leading the design/implementation of configuration-driven, scalable, reliable services and big data workflows/pipelines using EMR, Kafka, Spark, Hive, Airflow, or equivalents.
  • Knowledge of JavaScript, Python, API integration, and web service calls.
  • AWS Solution Architect Level certified (Architect, Developer, SysOps Administrator).
  • Azure associate level certification.
  • Proactively seek opportunities to evangelize and support existing data processes.
  • Passionate about data engineering/analytics and distributed systems.
  • Excellent interpersonal skills and passionate about collaborating across organizational boundaries.
  • Comfortable distilling informal customer requirements into problem definitions, resolving ambiguity, and balancing challenging objectives.
  • Passionate about mentorship, and coaching/onboarding/leading teammates.
Preferred Qualifications
  • 5+ years of professional experience with MS SQL or similar RDBMS architecture.
  • Comfortable presenting complex, technical topics in an actionable manner to senior leadership.
  • Solution-oriented mindset and positive attitude.
  • Expert knowledge of data modeling and data relationships.
  • Knowledge of other ITSM systems, CMDBs, Databases, and related platforms.
  • Strong understanding of Data Architecture used to support event processing framework.
  • Knowledge of Cloud information architecture patterns, software development processes, and data processing methodologies.
  • Experience supporting or leading design and implementation of cloud-native data platforms.

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