Senior Data Architect & Data Warehouse Lead

Traveloka; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Traveloka is seeking 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 hands-on technical leadership role demands experience in designing and scaling complex data warehouse architectures, with mentorship responsibilities for the data engineering team.

Qualifications

• 10+ years of data engineering experience at senior levels.
• Experience designing large-scale data warehouses from the ground up.
• Strong knowledge of dimensional modelling, Data Vault, and conformed models.
• Advanced SQL skills with BigQuery, dbt, or equivalent.
• Experience designing semantic/metrics layers and data contracts across multiple consumers.
• Strong leadership and mentoring abilities.
• Experience in OTA, travel tech, e-commerce, marketplace, or fintech preferred.

Responsibilities

• Own end-to-end data warehouse architecture across layers.
• Design scalable models for bookings, payments, and related data.
• Establish a governed metrics and definitions layer.
• Define and enforce data modelling, contracts, quality, and standards.
• Partner with Analytics, Data Science, Product, Finance to translate requirements.
• Lead reviews and advise on complex data architecture decisions.
• Mentor Data Engineers and raise engineering standards.

Skills

Data engineering

SQL

Data modeling

Data governance

Leadership

Mentoring

Tools

BigQuery

dbt

Job description

Traveloka is seeking 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 hands-on technical leadership role demands experience in designing and scaling complex data warehouse architectures, with mentorship responsibilities for the data engineering team.