{big deal}

Asia- Remote

Director - Data Engineering




Career Track


Apply Now

Director - Data Engineering




Career Track


Director – Data Engineering 

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.


Why this job’s a big deal?


The Director, Data Team will drive all data engineering initiatives for building the next-gen data platform at Priceline. Our mission critical systems handle a large infrastructure that caters to billions of user base across the world.  The Data team at Priceline is excited about working in a petabyte 24*7 environment, collaborative forward thinking approach, and with a sense of urgency provide both internal & external audiences to resolve issues related to performance of our infrastructure. 

In this role you will get to:

  • Lead, coach, motivate, mentor, foster innovation, and staff management of 20+ Data Engineers

  • Responsible for delivering on the goals and commitments of the Mumbai data team members while working in an agile environment

  • Lead and contribute to design sessions and translate to manageable work components that can be assigned to the team

  • Collaborate with peers in the US to design data platform components and ensure the big picture is understood by engineers in Mumbai

  • Champion for the data team in India, responsible for employee engagement and job satisfaction

  • Hire and grow technical talent 

  • Set goals and expectations for every member in the team and provide continuous and meaningful feedback

  • Mentor and help grow the junior team members 


Who you are:

  • Experience managing a team of 15 or more engineers (preferable in data)

  • 5+ years of relevant data experience

  • At least 10 years of work experience

  • Education in Computer Science or related field 

  • Well versed in Big data technologies and keeps knowledge current

  • Hands on experience in Agile software development

  • Experience in data warehousing, data ingestion, data lake, machine learning and analytics pipelines

  • Skilled in SQL and Python

  • Cloud experience is required, preferably on GCP

  • Familiarity with the following technologies is a plus: Kafka, BigQuery, BigTable, DataProc, GCS, Spark, DataFlow

  • Experience migrating on-premises databases and pipelines to the cloud

  • Must be able to work in a collaborative fashion with scrum team leads based in the US

  • Excellent communication skills, experience working with US based teams is a must

  • People leader


Who we are:



Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, fueled by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding – we make travel affordable and accessible to our customers. 

Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.  

We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.

If you want to be part of something truly special, check us out!  

Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies. Our sister companies include Booking, BookingGo, Agoda, Kayak and OpenTable. 

Priceline ensures equal employment opportunity to all employees and applicants without discrimination or harassment based on race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, or local law.

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