Airbnb Engineering Manager Offline Data 

United States 

526339356

A Typical Day:

• Proven ability to hire and manage high-performing teams with strong organizational thinking.
• Experienced in building healthy cross-functional partnerships with data producers and consumers, influencing peer teams to adopt best practices when needed.
• Deliver trusted, timely, cost-efficient, and high-performance frameworks that support the production of central datasets and instrumentation to address critical business needs.
• Stay updated on emerging technologies, best practices, and industry trends in data engineering and software development.
• Mentor and provide guidance to junior and senior engineers, fostering technical growth and professional development.
• Collaborate with Data Infrastructure Engineers, Data Engineers, Data Scientists, and Product Managers to design and build frameworks that support data development workflows.
• Develop and maintain automation tools to streamline the deployment and management of the platform.
• Maintain and evolve data engineering tools to ensure high availability, reliability, usability, and performance.
• Work closely with data engineering and analytics teams to understand their needs and create a seamless path for interacting with the data warehouse.
• Design and implement frameworks for processing data at scale, such as a metrics platform, SQL generation framework, or data quality framework.

Your Expertise:

• Proven track record of 5+ years in management and technical leadership, with a strong focus on Data Infrastructure and supporting Data Engineers, Analytics Engineers, and/or Data Scientists.
• Extensive prior experience in Data Engineering, Data Infrastructure, and Software Engineering disciplines as an individual contributor.
• Experience in building data applications that implement higher-level abstractions on top of lower-level data infrastructure to simplify complex data operations, improve scalability, and enhance overall system performance.
• Proficient in working with data storage and distributed processing technologies (e.g., Hive, Spark, Trino, Flink, or other SQL databases).
• Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
• Solid working knowledge of engineering best practices and the big data ecosystem.
• Experienced in data modeling, database design, and various SQL dialects.
• Proficient in containerization technologies such as Docker and Kubernetes.
• Extensive background in workflow orchestration solutions, including Apache Airflow, Luigi, Azkaban, Oozie, Prefect, or Kubeflow.
• Leverage experience in Data Engineering and Data Infrastructure to optimize processes and introduce new ideas and technologies that enhance data capabilities.
• Excellent communication skills, with the ability to effectively collaborate with cross-functional teams, build empathetic tools, and explain technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred.