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