Senior Manager, Data Engineering

OTGNew York, NY
Onsite

About The Position

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.

Requirements

  • 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)

Nice To Haves

  • 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

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
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