This role is eligible for our five-day flex office work model.

Senior Director, Data

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:

Enjoy working with big data? We do too!  In fact, data lies at the very core of our business! As a Sr Director, Data, you will lead data engineering initiatives building from scratch the next-gen data platform at Priceline. 

In this role you will get to:

• Lead a team of 50+ data engineers in Mumbai working on data and finance technology transformations

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

• Provide strategic direction to the team and also, communicate the team’s goals and progress to the organization. Represent the team in various forums across the organization.

• Guide the team in the architecture, design and implementation of cloud native scalable ETL solutions in the big data ecosystem using GCP

• Provide technical guidance by leading and contributing to design sessions and translate programs to manageable work components that can be assigned to the team members

• 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 and finance tech 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 20 or more engineers (preferable in data engineering)

• 5+ years of relevant data experience

• At least 10 years of work experience

• Passion for building world class data platforms on the Cloud

• 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

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