Job Description: Company Description McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. As the global leader in the food service industry, our legacy of innovation and hard work continues to drive us. From drive thru updates to delivery to mobile order and pay, we are innovating quickly and growing. Joining McDonald's means thinking big and preparing for a career that can have influence around the world. Department Overview One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in MHQ. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. As the Sr. Manager, Data Operations Lead, you will run and support our global, multi-region data platform. This role requires deep technical knowledge, strong leadership, and the ability to handle high-impact production environments. The ideal candidate is AWS and GCP certified, has a solid background in data operations and support, and is highly skilled in handling streaming and batch data pipelines, cloud storage, and production deployments. This is a hands-on leadership role, requiring both technical depth and effective communication with internal and external partners. Primary Responsibilities + Lead and run the data operations team, ensuring 24x7 support for global, multi-region data platforms. + Provide hands-on support for production issues, working closely with engineering and business partners to triage, resolve, and communicate effectively. + Oversee production deployments, ensuring proper validation, rollback strategies, and coordination with DevOps and development teams. + Support and maintain streaming (e.g., Kafka, Kinesis, Pub/Sub) and batch processing pipelines using Talend, dbt, Apache Airflow, and custom ETL/ELT workflows. + Lead and optimize data storage and access patterns using AWS S3 and GCP GCS. + Ensure smooth and secure operation of distributed data systems such as Amazon EMR, Redshift, and Google BigQuery. + Monitor data infrastructure health using industry-standard tools; enhance observability, alerting, and automated remediation processes. + Collaborate with cross-functional teams, including developers, data engineers, business analysts, and customer success teams to address production and operational issues. + Maintain comprehensive documentation of systems, workflows, and standard operating procedures. + Lead post-incident reviews and root cause analysis (RCA) efforts, driving continuous improvement. + Handle vendor relationships for third-party tools and services, ensuring SLAs and service quality standards are met. + Provide recommendations for technology adoption to improve data infrastructure. Qualifications + 7+ years of experience in data operations, support, or engineering with a strong focus on cloud-based platforms. + AWS Certified (e.g., Solutions Architect, Data Analytics) and GCP Certified (e.g., Professional Data Engineer). + Hands-on experience with ETL/ELT tools such as Talend, dbt, workflow orchestration using Apache Airflow. + In-depth experience with Amazon Redshift, Google BigQuery, Amazon EMR, AWS S3, and GCP GCS. + Demonstrable experience supporting 24x7 production environments, including on-call rotation and critical incident resolution. + Experience with both streaming and batch data processing architectures. + Good background in partner communication, especially for incident triage, resolution updates, and post-mortem reviews. + Experience overseeing production deployments in cloud-native and hybrid environments. + First hands understanding of ABaC on a Global Platform. + Demonstrated ability to manage vendor relationships and enforce SLA compliance. + SQL + Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. + Exceptional communication, leadership, and customer management skills. + Bachelor’s or master’s degree or equivalent experience in data science, Information Systems, or a related field. Preferred Experience: + Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. + Proficiency in automation/scripting using Python, Shell, or SQL. + Experience with monitoring and observability tools (e.g., CloudWatch, Stackdriver, Datadog). + Familiarity with data security, governance, and compliance standards in cloud environments. + Exposure to DevOps and SRE standard methodologies for data platforms. + Current GCP Professional & AWS Professional Certifications. Compensation Bonus Eligible: Yes Long - Term Incentive: Yes Benefits Eligible: Yes Salary Range Salary Ranges-$149,260.00 - $190,310.00 Additional information At McDonalds we are People from all Walks of Life... People are at the heart of everything we do, and they make the McDonalds experience. We embrace diversity and are committed to creating an inclusive culture that means people can be their best authentic self in our restaurants and offices, which helps us to better serve our customers. We have a strong heritage of diversity and representation within our communities, which we are proud of. The diversity of our people, customers, Franchisees, and suppliers gives us strength. We do not tolerate inequality, injustice, or discrimination of any kind. These are hugely important issues and a brand with our reach and relevance means we have a very meaningful role to play. We also recognise our responsibility as a large employer to continue being active in our communities, helping to develop skills and drive aspirations that will help people to be more aware of the world of work and more successful within it, whether with McDonalds or elsewhere. Requsition ID: 1457