Senior Data Engineer, BizTech

JobCubby; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Airbnb is seeking a hands-on data engineering leader to guide BizTech’s distributed data platforms. You will design, build, and operationalize data pipelines at scale across batch and streaming workloads, collaborating with product managers, data scientists, and engineers.

You will mentor teams, shape long-term data strategy, ensure governance and quality, and drive data-driven decisions that power critical business processes across the organization.

Qualifications

• 9+ years of experience with CS/EE degree or 6+ years with a PhD
• Experience designing, building, and operating distributed data platforms at scale
• Proficiency in Java, Scala, or Python and SQL
• Experience designing and optimizing batch and real-time data pipelines
• Strong collaboration with product managers, data scientists, and engineers
• Expertise in data modeling, warehousing, and relational/columnar databases
• Experience integrating machine learning models into data systems (preferred)
• Leadership and mentorship capabilities
• Ability to adopt new technologies to enhance data systems and processes

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 via monitoring and QA
• Design and optimize data models to meet business and product requirements
• Collaborate with product managers, data scientists, and engineers to develop scalable systems
• Maintain partnerships with backend, data science, and ML teams for seamless integration
• Contribute to long-term data strategies and governance practices
• Mentor team members and promote data quality and governance
• Advance 3rd party data integrations and data lineage frameworks

Skills

Big data platforms

Java/Scala/Python

Data modeling & warehousing

SQL querying

Data quality & governance

Distributed data pipelines

Leadership & mentoring

Cross-functional collaboration

Communication skills

Education

Bachelor's or Master's in CS/EE (PhD optional)

Tools

Spark

Kafka

Flink

PostgreSQL

MySQL

Redshift

BigQuery

Job description

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.