Tech Stack

Description

You will provide technical leadership in designing, implementing, and maintaining scalable batch and real-time data systems that support critical compliance, payments, and legal data. Collaborating with cross-functional teams, you'll drive long-term data strategies, mentor team members, and contribute to Airbnb's data engineering best practices.

Requirements

• 9+ years of relevant experience with Bachelor's/Master's in CS/EE (or 6+ years with PhD)
• Extensive experience designing, building, and operating distributed data platforms (Spark, Kafka, Flink) at large scale
• Proficiency in Java, Scala, or Python, with strong data processing and SQL skills
• Proven track record designing and optimizing batch and real-time data pipelines
• Strong collaboration skills with product managers, data scientists, and engineers
• Advanced problem-solving and analytical skills with focus on data quality, governance, and reliability
• Excellent written and verbal communication, ability to influence stakeholders
• Expertise in data modeling, warehousing, relational and columnar databases (PostgreSQL, MySQL, Redshift, BigQuery)
• Experience integrating machine learning models into data systems (preferred)
• Strong leadership and mentorship capabilities

Responsibilities

• Lead design, implementation, and testing of data systems from architecture to production.
• Build batch and real-time data systems supporting business needs and critical products.
• Ensure data systems quality, performance, and stability through monitoring and quality assurance.
• Design and optimize data models to meet business and product requirements.
• Collaborate with cross-functional teams including product managers, data scientists, and engineers.
• Maintain partnerships with backend, data science, and machine learning teams.
• Contribute to long-term data strategies and influence data engineering practices.
• Mentor and guide team members on best practices for data quality and governance.
• Advance third-party data integrations, enhancing frameworks for data exchange, governance, and lineage.