Data Engineering Manager

Summary

Join Airbnb's Community Support Data team as an Engineering Manager and lead a team of data engineers building and scaling data foundations for a transformative customer support platform. You will manage projects, collaborate with cross-functional teams, and ensure high-quality data for strategic decision-making, AI models, and agent performance evaluation. This role requires extensive experience in data engineering, team leadership, and collaboration. You will mentor engineers, advocate for best practices, and align team priorities with organizational goals. The position is US-remote eligible with occasional office work. Compensation includes a competitive salary, bonus, equity, benefits, and employee travel credits.

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 and lead collaboration across different functions
• 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, ensuring high-quality data generation, ingestion, logging, processing, and metrics capabilities
• Collaborate with engineers to plan, make trade-offs, and deliver high-quality data foundations (batch, intraday, streaming) that power insights for strategic decision-making, product and service measurement, AI models, and support agent performance evaluation
• Collaborate with Product, Analytics, ML, and Operations to define and prioritize impactful data initiatives, identifying customer pain points and ensuring seamless data integration, data flow, 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
• 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
• Connect the dots between team efforts and broader company initiatives, ensuring alignment and impact

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits