• Design, implement, and sustain modern Data Lake and Lakehouse architectures • Build and optimize both real-time and batch data ingestion pipelines • Establish Data Quality standards and security/privacy policies • Serve as a technical reference for the team and promote development best practices • Identify bottlenecks in large-scale data processing

• Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements • Help translate business requirements into technical specifications for data consumption and use • Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements • Accurately map data attributes between different domain models • Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow • Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents

• Own the operational health, architecture intelligence, and cost optimization of cloud environments • Develop and maintain technical understanding of the organization’s cloud architecture • Map relationship between architectural decisions and cost drivers • Identify cost anomalies, inefficiencies, and optimization opportunities • Build and maintain dashboards for real-time visibility into cloud cost trends • Help define and enforce cloud governance policies • Serve as primary point of contact for cloud cost and operations questions

Role Description 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. - 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. 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). Requirements - 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. Company Description 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 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.