Manager, Platform Engineering
McDonald’s Corporation
At a glance
AI generatedAs a Data Platform Engineer at our company, you will join a dynamic engineering team to design and implement scalable data platforms on Google Cloud Platform (GCP), focusing on delivering robust data pipelines and platform services for analytics and AI workloads. Your daily tasks include building secure and cost-effective GCP-based solutions, enhancing data integration patterns with ETL/ELT frameworks like dbt and Kafka, and supporting the implementation of features that enable emerging AI technologies such as GenAI and LLMs. You will collaborate closely with product managers, architects, and DevOps teams to ensure cohesive delivery across platform layers while adhering to governance, security, and compliance standards. Required skills include hands-on experience with GCP data services like BigQuery and Dataflow, CI/CD pipelines, Terraform, and containerized workloads, along with a strong background in cloud engineering and data platform design.
Skills
What you'll do
What we're looking for
Market check
This $127,332–$159,165 range sits above 10% of similar postings on FindRole.
Peer median band
$159,500–$235,200
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,000–$224,000
Middle half of comparable postings.
Based on 239 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.
McDonald’s Corporation currently has 64 open roles on FindRole.
Listed pay typically runs $138,207–$172,758 across 62 roles with salary data.
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