Role Description The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments. The Difference You Will Make - Set the North Star: define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape. - Organizational Influence: act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one. A Typical Day - Architect Ecosystems: lead the design of overarching data architectures that don't just solve today’s batch needs but anticipate future real-time and AI-driven requirements. - Scale Best Practices: define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously. - Policy Stewardship: lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them into engineering requirements. - Mentor and Multiply: coach Senior and Staff engineers across the organization on data best practices, fostering a community of excellence. Qualifications - 12+ years of industry experience, with a proven track record of leading large-scale data initiatives across multiple departments or business units. - Demonstrated expertise in designing and evolving complex data ecosystems within complex, high-volume environments. - Experience influencing product and business strategy by leveraging data integrity as a competitive advantage. - Deep expertise in the Java/Scala/Spark ecosystem (preferably with knowledge of S3 and Iceberg). - Strong knowledge of relational databases and query authoring (SQL). - Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization. Location This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. Benefits - Base pay range: $248,000 — $310,000 USD. - Role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

• Use Google Big Query and GCP Suite or similar big data tools to deliver on datawarehouse and reporting requirements • Use with Databricks and similar ETL tools to perform data extract and transformation of high volume (10’s of millions) of records • Architect, Design, and Build pipelines to move large amounts of data from variety of sources (postgres DBs, REST APIs, Databricks etc) • Improve existing data warehouse architecture to enable robust user facing and internal reporting • Handle large amounts of data and complex integration processes • Build reusable code and libraries for future use • Expertise with Firestore a plus

• Partner with cross-functional teams to define BI and analytics requirements • Innovate with new tools to improve Muttdata's infrastructure and processes. • Design dimensional data models and build scalable data pipelines • Develop data models to feed dashboards for teams across the org, as well as client-facing analytics • Develop tools for the team and assist in tech migrations and model design. • Build scalable, high-performance data architectures. • Focus on code quality—review, document, test, and integrate CI/CD.

• design, build, and maintain well-architected ETL pipelines • work at enterprise scale and process terabytes of financial data • ensure data is timely, accurate, and stored within contractually required timelines • build and maintain ingestion pipelines using AWS Glue • process and ingest large-volume XML filings • store curated zone data in Apache Iceberg tables • prevent duplicate data loads across target destinations • integrate the agency's ETL Common Library into Glue jobs • ensure all ETL jobs populate ETL Load Reports in real-time • implement technical data quality standards • develop and maintain the semantic layer • deploy ETL resources using CloudFormation templates • create and maintain documentation suite for each dataset • support operationalization of statistical outputs and derived data products