Senior Lead Data Engineer
A hands-on technical leadership role at Traveloka in Singapore: you own the architecture and evolution of the enterprise data warehouse — designing scalable models for transactional domains like bookings and payments, setting data quality and contract standards, and mentoring data engineers — using advanced SQL with BigQuery and dbt.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum 10+ years of Data Engineering experience
- 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
- 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
Nice to have
- Experience operating at Staff, Lead, Principal, or equivalent level
- Experience in OTA, travel tech, e-commerce, marketplace, or fintech
Full description
Job De ion
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.