Restaurant Brands International-posted 2 months ago
Full-time • Mid Level
Miami, FL
5,001-10,000 employees

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. The Data Engineering Manager is responsible for leading a team of data engineers to design, build, and maintain robust data pipelines and infrastructure for The Burger King Company in the US. This role oversees the development and optimization of scalable data solutions that handle millions of transactions per day, enabling actionable insights and supporting strategic business initiatives. This position is based in Miami, FL and is in the office 5 days a week.

  • Lead and mentor a team of data engineers, fostering professional growth and knowledge sharing.
  • Oversee day-to-day activities of the data engineering team, ensuring timely delivery of projects.
  • Collaborate with cross-functional teams, including data scientists, analysts, product managers, and IT, to develop and implement data solutions that meet business needs.
  • Design, build, and maintain scalable and efficient data pipelines and ETL processes.
  • Implement best practices for data integration, modeling, quality, and governance.
  • Ensure data reliability, integrity, and availability for critical analytics workflows.
  • Drive the development of the overall data engineering strategy and optimize processes to ensure efficiency and scalability.
  • Plan and execute data engineering projects, ensuring alignment with organizational objectives.
  • Gather and document requirements for projects, create data migration plans, and communicate progress with stakeholders.
  • Manage relationships with technology vendors and oversee service-level agreements.
  • Continuously evaluate emerging technologies and methodologies to improve data engineering capabilities.
  • Encourage a culture of innovation and continuous improvement within the team.
  • 5+ years of progressive experience in data engineering, with at least 3 years leading engineering teams.
  • Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • Strong programming skills in Python and SQL.
  • Extensive experience with AWS services (e.g., S3, Glue, Athena, EMR, SNS, SQS, KMS).
  • Experience with data warehousing solutions like Snowflake or Redshift.
  • Proficiency with workflow orchestration tools (e.g., Apache Airflow, Dagster).
  • Familiarity with reporting tools (e.g., Tableau, MicroStrategy).
  • Experience with Infrastructure as Code (e.g., Terraform).
  • Knowledge of NoSQL databases like DynamoDB.
  • Experience with Retool development and ticketing systems such as JIRA.
  • Demonstrated ability to lead and manage multiple complex projects in a fast-paced environment.
  • Excellent verbal and written communication skills, with the ability to translate technical concepts for non-technical stakeholders.
  • Strong analytical and problem-solving abilities.
  • Ability to build and maintain cross-functional relationships while managing competing priorities.
  • Self-motivated and driven to continuously improve processes and outcomes.
  • Comprehensive global paid parental leave program.
  • Free telemedicine and mental wellness support.
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