Staff / Lead Data Engineer, Data Warehouse Architecture
Posted Updated 6
views
Summary
Hands-on technical leadership role at Traveloka in Singapore: own and evolve the enterprise data warehouse end-to-end (raw to marts), design scalable models for domains like bookings, payments and refunds, and establish governed metrics and data contracts using SQL, BigQuery and dbt while mentoring data engineers.
Job Description
Job ID: MJ000352
We are looking for a Staff / Lead Data Engineer to own the architecture and evolution of our enterprise data warehouse. You will define how data is modelled, governed, and consumed across the organisation, creating a scalable foundation for analytics, reporting, and downstream data products.
This is a hands-on technical leadership role for someone who has personally designed and scaled complex data warehouse architectures, rather than only building pipelines within an existing framework.
Key Responsibilities
Own the end-to-end data warehouse architecture, including raw, staging, core/conformed, and data mart layers.
Design scalable models for complex transactional domains such as bookings, payments, cancellations/refunds, amendments, supplier/customer flow data.
Establish a single, governed metrics and definition layer to ensure consistency across business units and downstream consumers.
Define and enforce data modelling, data contracts, quality, and engineering standards.
Partner with Analytics, Data Science, Product, Finance, and business teams to translate requirements into scalable data solutions.
Lead technical and design reviews and act as a trusted advisor for complex data architecture decisions.
Mentor Data Engineers and raise the overall engineering and modelling standards of the team.
Requirements Minimum 10+ years of Data Engineering experience, with experience operating at Staff, Lead, Principal, or equivalent level preferred. Proven experience designing large-scale data warehouses from the ground up. Strong knowledge of dimensional modelling, Data Vault, conformed models, and modern data architecture principles. Advanced SQL skills and hands-on experience with BigQuery, dbt, or equivalent technologies. Experience designing semantic/metrics layers and data contracts across multiple consumers. Strong understanding of large-scale transactional data and complex business logic. Strong technical leadership with experience reviewing architecture and mentoring other engineers. Experience in OTA, travel tech, e-commerce, marketplace, fintech is highly preferred.
Requirements Minimum 10+ years of Data Engineering experience, with experience operating at Staff, Lead, Principal, or equivalent level preferred. Proven experience designing large-scale data warehouses from the ground up. Strong knowledge of dimensional modelling, Data Vault, conformed models, and modern data architecture principles. Advanced SQL skills and hands-on experience with BigQuery, dbt, or equivalent technologies. Experience designing semantic/metrics layers and data contracts across multiple consumers. Strong understanding of large-scale transactional data and complex business logic. Strong technical leadership with experience reviewing architecture and mentoring other engineers. Experience in OTA, travel tech, e-commerce, marketplace, fintech is highly preferred.