Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.

The Difference You Will Make:

We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve.

A Typical Day /Responsibilities:

Lead the design, implementation, and testing of data systems, from architecture to production.
Build batch and real-time data systems that support business needs and critical products.
Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.
Design and optimize data models to efficiently meet business and product requirements.
Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.
Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.
Contribute to long-term data strategies and influence data engineering practices across the organization.
Mentor and guide team members, fostering best practices for data quality and governance.
Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.

Your Expertise:

9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD).
Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
Proven track record of designing and optimizing batch and real-time data pipelines.
Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.
Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
Experience with integrating machine learning models into data systems (preferred).
Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.