Senior Data Platform Engineer, OpenTable

• Proven experience with Site Reliability Engineering or MLOps with a focus on data infrastructure
• Knowledge of the technologies and principles of data engineering
• Experience building, testing, deploying, monitoring, and maintaining production systems
• Proficient in Python, at least one strongly typed language, and Kubernetes

Desirable

• The Data Engineering team at OpenTable supports a wide range of initiatives targeting diners, restaurants, and internal stakeholders. The team works directly on product initiatives and also serves as a platform for other teams to build data products
• Generative AI for content summarization and question answering
• Data pipelines which provide insights to restaurants on their guests, revenue, and operations
• Diner analytics projects which power ML, Sales, and Marketing workstreams
• Integrations with partners to ingest and export data to support business critical partnerships
• As a Data Platform Engineer you will work closely with Infrastructure SREs, Data Engineers, and the Machine Learning team to craft and deploy robust and well governed solutions. You will lead both on-premise and cloud based infrastructure, and be responsible for maturing our DataOps and MLOps across the organization
• The Data Engineering team at OpenTable has two opposing challenges which manifest themselves as opportunities:
• OpenTable is the world's leading provider of online restaurant reservations, seating more than 25 million diners per month via online bookings across approximately 60,000 restaurants
• It has a massive wealth of diner and restaurant data going back over 20 years
• OpenTable fields a lean team, with just over 1,000 employees globally
• The Data Science team is currently 17 people, but striving to grow
• As a member of the team, you will benefit from these factors because your projects will have sufficient data and usage to be interesting and have a meaningful impact, and you will have the opportunity to work on a variety of interesting projects across the company
• However, you will be forced to think critically and ruthlessly prioritize, since the team has finite bandwidth. If these challenges sound interesting, then we look forward to hearing from you!