Airbnb Data Engineering Manager Community Support Platform 

United States 

533487153

A Typical Day:

• 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.

Your Expertise:

• 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.

Offices: United States