Data Engineering Manager, Communication & Connectivity Data

Airbnb is a global platform that connects hosts and guests, and they are seeking a Data Engineering Manager for their Communication & Connectivity Data team. This role involves leading a team of data engineers to build and manage data foundations that support various communication products, ensuring high-quality data generation and collaboration with machine learning teams.

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

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