Job Title: Senior Manager, Data Engineering Location: Home Office Compensation: $125,000 – $150,000 Reports to: Director / VP, Technology & Data Who We Are On the Go (OTG) has elevated the dining and retail experience for travelers by bringing together world-class hospitality, award-winning dining concepts, and forward-thinking technology. With more than 300 unique dining and retail locations across North America’s busiest airports, we’re fueled by a passion for creating exceptional guest experiences—made possible every day by our incredible Crewmembers. At OTG, people truly come first. We invest in our teams and foster growth in an exciting, fast-paced environment where everyone can shine. How We Do Business How we work is just as meaningful as what we accomplish. Our values—Care, Continuous Improvement, Quality, and Teamwork—guide the way we show up for our guests and for each other. We are committed to fostering an inclusive, safe, and dynamic workplace where individuals feel empowered to contribute and grow. Why This Job Is a Big Deal! The Senior Manager, Data Engineering will play a critical role in revitalizing OTG’s data analytics platform and strategy, transforming how data is leveraged across operations, finance, and guest experience. This role will serve as a hands-on leader responsible for building and modernizing OTG’s data platform, driving scalable data solutions, and enabling real-time insights that power business decisions across the organization. This individual will help define the future state of OTG’s data ecosystem, ensuring it supports growth, operational efficiency, and innovation. In this Role you will… Lead the design and execution of a modern data platform strategy, aligned with OTG’s business goals and growth trajectory Drive the revitalization and modernization of data pipelines, data models, and data infrastructure Build and optimize scalable ETL/ELT pipelines to support high-volume transactional data from POS, operations, and customer systems Establish a roadmap for data architecture, data governance, and analytics enablement Ensure data systems support real-time insights, operational reporting, and advanced analytics use cases Partner with Engineering, Product, Finance, and Operations teams to translate business needs into data-driven solutions Define and enforce data engineering standards, best practices, and governance frameworks across the organization Lead the migration and modernization of legacy data systems into cloud-based platforms Oversee data quality, data integrity, and system reliability across the enterprise Manage and mentor a team of data engineers, driving performance, accountability, and growth Provide hands-on technical leadership, including coding, troubleshooting, and architectural design as needed Collaborate with external vendors and partners to support delivery and scalability initiatives

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience) 6–10+ years of experience in data engineering, data architecture, or related technical roles 2–4+ years of leadership experience, managing engineering teams or technical initiatives Proven experience building and scaling modern data platforms in cloud environments (AWS, Azure, or GCP) Strong background working in high-volume, data-intensive environments (hospitality, retail, QSR, or similar preferred) Key Competencies Data Platform Modernization & Transformation Data Engineering & ETL/ELT Pipeline Development Cloud Data Architecture (Snowflake, Databricks, Redshift, Synapse, etc.) Real-Time Data & Streaming (Kafka or similar) Data Governance & Data Quality Management Cross-Functional Stakeholder Collaboration Hands-On Technical Leadership Team Leadership & Talent Development Problem Solving & Continuous Improvement Communication & Organizational Agility Equal Opportunity Employer We’re proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. #LI-MS1