What is Data Engineering at Airbnb? 

We need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.

At the same time, the technology used to create great data is continually evolving. We are moving to a reality where both batch & stream processing are leveraged to meet the latency requirements for the business. The Data Engineering paved path is still taking shape, and we want to collaboratively develop this to support the entire company. We need senior engineers who are passionate not only about the data, but also about improving the technology we leverage for Data Engineering.

Data Engineering is part of our Engineering org as we believe great Data Engineering depends on solid Software Engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.

What is Airbnb Community Support Platform (CSP)?

Airbnb’s Community Support vision is to build the world's most loyal travel community through exceptional service. It is an area of unprecedented scale and complexity. In no other domain the efficiency and reliability of servicing tech translates so directly into competitive advantage, brand loyalty and the fundamentals of the business. Airbnb has excelled in this area for years thanks to a purposeful way we applied innovation backed by data and how constant experimentation allowed us to discover new paths to follow.

Currently we are in the process of extending our platform with capacity for self-service, intelligent resolution and process automation at a scale the Travel industry has not seen before. Data infrastructure along with real-time AI capabilities are the core components of the new ecosystem.

Our agents will be equipped with real time access to contextually relevant information, scoring engines will assist in recommending the best course of action, while automation workflows will take the tedious, repeatable tasks off agent’s shoulders and give the customers freedom to solve most of the issues without waiting in line. 

Establishing sustainable technology and governance processes that can deliver large volumes of quality data from across all diverse Airbnb sources is the key to successful execution of the ambitious strategy we have laid out.

CSP Data Architect Role

We are seeking a hands-on data architect, to provide technical leadership to the CSP data engineering team and guide the rest of the CSP engineering team in data best practices. This position is a pivotal technical leadership role and demands strong leadership, collaboration and influencing across the organization. As CSP Data Architect, you will be working with current and emerging data platforms, guiding teams on delivery, best practices and owning accountability for data quality and data governance. Your prior experience in building large scale data solutions with Hands-on development experience, excellent analytical skills, flexibility, innovative thinking, problem solving, conflict management, and self-motivation will be needed. 

You will use your excellent communication and influencing skills to collaborate with product, engineering and operations teams. If you have a strong understanding of how to build a modern and large scale data architecture, this is a great fit and an exciting opportunity. We are interested in talking to you.

Responsibilities:

• Lead designing and reviewing all aspects of modern data and analytic platforms including artifact creation such as ERD, architecture design and other technical documents.
• Provide leadership and expertise in the development of logging standards, data governance, data processing principles, design patterns and practices.
• Develop innovative strategies, processes and best practices to reduce technical debt, improve data quality and increase observability and reliability to enable both business continuity and technology transformation for Community Support.
• Research, design, test, and evaluate new technologies, platforms and third party products.
• Build consensus with various business stakeholders and technology leaders around solutions and provide mentorship and support for teams during implementation.
• Be the voice of the engineer and escalate/provide visibility to execution challenges to engineering leadership. Maximizing the growth and impact of other senior engineers at Airbnb through mentorship, advice, and leading groups designed to align technical initiatives and decisions.
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company.
• Collaboration with the Airbnb data community in establishing best practices, standards and contributing to the overall data outcomes across the company.

Minimum Requirements: 

• 10+ years of relevant industry experience leading development of a modern data architecture and Data governance.
• Working with large scale data platforms including experience with HBase, Spark, Hive, Kafka, Flink, etc.
• Experience designing, building and operating robust distributed processing systems with reliable monitoring and logging practices.
• Working knowledge of relational databases and query authoring (SQL).
• Experience with Java / Scala / Spark / Python is preferred.
• Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing.
• Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience.
• Excellent communication skills, both written and verbal.

The starting base pay for this role is between $190,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits