Data Engineering Manager, Communication & Connectivity Data

Airbnb

1d•Remote

About The Position

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Over two million people stay on Airbnb every night, and the Communication & Connectivity (C&C) organization is the central nervous system that ensures seamless interactions between our hosts, guests, and partners. Our product portfolio spans Notifications, Messaging, Hosting Services, and the Partner Ecosystem—areas of unprecedented scale and complexity where reliability, speed, and intelligence directly impact Airbnb’s user experience and business fundamentals. We are on a journey to build highly intelligent, scalable communication platforms, leveraging data and machine learning to deliver timely, personalized, and actionable information to our community. Data and metrics are at the heart of how we connect our users. The C&C Data team is responsible for providing and governing consistent and trustworthy data foundations across both offline and online consumption. Your work will empower ML and backend engineers, analytics teams, and product managers to unlock new opportunities in how our users communicate and operate on the platform. The Difference You Will Make: As an Engineering Manager in the C&C Data team, you will lead and grow a team of talented data engineers who build and scale the data foundations that enable our communication products to thrive. In this role, you will be responsible for managing data across the entire C&C product portfolio (Notifications, Messaging, Hosting Services, and Partner Ecosystem). A critical part of your mission will be to partner closely with our Machine Learning teams to architect data pipelines that enable intelligent features and fulfill complex data needs. Additionally, your team will be the driving force behind the development and governance of key metrics across the entire C&C organization. You will collaborate closely with product, engineering, and analytics teams to solve the right problems with high-quality, reliable data. Your work will directly empower our platform to deliver the right message, at the right time, to the right user.

Requirements

9+ years of industry experience, with a focus on data engineering and analytics engineering.
4+ years of experience in managing and leading data engineering teams, with a proven ability to mentor and grow engineering talent.
Proficiency in data processing technologies (batch and streaming), SQL, and ETL schedulers (e.g., Airflow, Dagster).
Demonstrated ability to drive complex, cross-team data engineering projects, with specific experience enabling Machine Learning features and collaborating with ML/AI teams.
Experience in designing, building, and governing key business metrics across a diverse product portfolio.
Strong technical and strategic vision, with the ability to translate broad objectives into actionable engineering plans.
Strong product and business sense; can spot potential data issues, provide alternative solutions, and collaborate effectively with product, engineering, and analytics partners.
Excellent communication skills, with the ability to effectively interact with technical and non-technical stakeholders.
A passion for innovation and the ability to foster a culture of learning and continuous improvement.

Responsibilities

Lead and manage a team driving data engineering projects across Notifications, Messaging, Hosting Services, and the Partner Ecosystem, ensuring high-quality data generation, ingestion, processing, and reporting capabilities.
Collaborate closely with the ML team to design and deliver robust data foundations (batch, intraday, streaming) that enable new product features, power AI/ML models, and fulfill real-time data needs.
Drive the development of key metrics across the C&C org, partnering with Analytics and Product to define, build, and govern the metrics that measure our business impact and product health.
Collaborate with Product, Analytics, ML, and Engineering to define and prioritize impactful data initiatives, identifying pain points and ensuring seamless data integration and high-quality, trusted data.
Streamline team practices, ensuring effective prioritization, execution, and clear communication of roadmap commitments.
Advocate for best engineering practices, including testing, monitoring, and continuous improvement.
Assess system health and data quality, identifying key areas for investment and scalability within the C&C data ecosystem.
Mentor and develop engineers, fostering an inclusive and high-performing team culture.
Align team priorities with organizational goals, partnering with senior leadership to drive execution and connect the dots between team efforts and broader company initiatives.