Data Architect

Get to know the role:

• As our Data Architect, you will be the custodian of Data Marts, the backbone of Grab’s Analytics. Data Marts are subsets of Grab’s Data Lake and contain carefully curated and precalculated metrics, usually pertaining to a particular business or product domain.

• Work closely with business and product teams to assess, collect and define requirements. This includes translating business metric definitions into data speak.

• Work closely with data engineers to understand data sources, nuances and lineage.

• Design and create conceptual, logical and physical data models, fit for analytical consumption and able to support both snapshot and historical analyses.

• Defines and maintains data architecture artifacts, documentations, design standards, best practices and lifecycle management.

• Stewards data governance of Grab's Data Marts to drive high standards of coherence, availability, consistency and usability in a secure fashion.

What we are looking for:

• Bachelor degree in Computer Science, Information Systems, Computer Engineering, or related technical field.

• 6+ years of experience with data modelling, data governance, data architecture, data warehousing, or related fields.

• Working knowledge of data modelling best practices and design principles.

• Experience working with very large volumes of data.

• Experience with working with Presto and AWS S3, or similar big data tech stack.

• Experience with building and managing data pipelines and ETL jobs.

• Analytical and independent problem solver. Meticulous with high attention to detail.

• Strong communicator with ability to switch hats between data/technical speak and business/layperson speak.

About the Team

Analytics Architecture is the backbone of Grab's Analytics. We focus on:

• Building coherence through centrally architected data models

• Building visibility on Grab's performance horizontally across the organisation

• Building analytical capabilities through data products and decision-guiding tools