[Remote] Senior Manager, Data Engineering
Note: The job is a remote job and is open to candidates in USA. OTG Management is dedicated to enhancing the dining and retail experience for travelers through innovative technology and exceptional service. The Senior Manager, Data Engineering will lead the modernization of OTG's data analytics platform, ensuring effective data solutions that drive business decisions and operational efficiency.
Responsibilities
- 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
Skills
- 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)
Company Overview