This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto in the summer of 2026.
With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most - their team, their guests, and their bottom line - while enabling diners to discover and book the perfect restaurant for every occasion.
Every employee at OpenTable has a tangible impact on what we do and how we do it. You'll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.
About the Team
The Guest Platform team, within the Hospitality line of business, is the backbone of our CRM system. We build and operate the scalable, reliable backend systems for the guest-centric workflows in our restaurant product. Our mission is to empower restaurants with analytics and insights about their guests, enabling them to make smarter decisions and provide an elevated hospitality experience.
We're looking for an engineering manager to oversee our Guest Data Platform team. As an Engineering Manager, you will be responsible for the team's technical vision, strategy, execution, and the growth of our talented senior and principal product engineers and bridge the gap between product engineering and data engineering.
You will partner closely with leaders in Product, Design, Data Engineering, Data Science, and other engineering groups to translate complex business needs into a scalable and forward-looking data architecture. This is a high-impact role where you will define the future of analytical products in the Hospitality LOB at OpenTable, driving technical strategy and fostering a culture of innovation and excellence.
Our data platform is built on a modern, cloud-native stack. While experience with our exact tools isn't required, a strong background in similar technologies is essential. Our ecosystem includes technologies for data ingestion (CDC and Kafka), processing (Spark), storage (Databricks/S3), and orchestration (Airflow). Data engineering systems primarily use Python and SQL, and our product-facing backend applications are built on Java/Spring that run on an on-prem Kubernetes cluster. We use MongoDB, and ElasticSearch as our primary operational data store.
You'll be responsible for:
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