Senior Manager Data Engineering

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the team 

Are you fascinated by data and building robust data streaming and batch pipelines that process massive amounts of data at scale and speed to provide crucial insights on Travelers and Partners? This is precisely what we, the Service Data Engineering group in Expedia, do. Our mission is 'transforming Expedia’s service data assets into Data Products that deliver intelligence and real-time insights for our customers and Partners.' We work on building data assets and products to support a variety of applications that are used by 5000+ external and internal analysts and business users. 

In this role, you will:  

• Leads data domain requirements, stakeholder engagement, and cross-functional knowledge sharing 

• Resolves complex technical issues and ensures smooth execution of innovative ideas 

• Collaborates across organizations, aligning technology with business outcomes 

• Drives process improvements, milestone planning, and product lifecycle management 

• Designs and maintains real-time/batch data pipelines using advanced tools and best practices 

• Lead data quality efforts, identifies inefficiencies, and bridges technical and non-technical gaps 

• Manages team talent, resource allocation, and professional development 

• Tracks industry trends and integrates customer feedback for continuous improvement 

• Encourages and supports the professional development of individual contributors by developing and building Individual and Team Talent 

Experience and qualifications:  

• 8+ years of experience in Data and Software Engineering 

• 3+ years of experience in People Management, managing more than 6+ member data engineering teams, including full-time employees and vendors 

• 3+ years of experience in impeccable stakeholder management experience across geographies 

• Experience building teams and understanding talent-hiring philosophy 

• Executes capacity planning/allocation of teams of 10 or more 

• Leads more than three multi-quarter data engineering projects 

• Experienced in working in at least two multi-quarter data engineering projects, primarily in Java/Scala, and good knowledge of SQL, etc 

• Built high-performance, scalable data products in Streaming and Batch paradigms, preferably in Kafka, Kotlin, Springboot, Spark, SQL, AWS Cloud, etc 

• Drive technical design end to end of at least 3 data engineering projects 

• Able to justify technology choices to techni