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Data Engineering Manager – Communication & Connectivity Data
Location
United States
Posted
53 days ago
Salary
$212K - $265K / year
Seniority
Lead
Job Description
Data Engineering Manager – Communication & Connectivity Data
Airbnb
• 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.
Job 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.
Benefits
- Our job titles may span more than one career level.
- The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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