Senior/Staff Data Platform Engineer - (Bangkok based, relocation provided)

Confirmed live in the last 24 hours

Agoda

Bangkok, Thailand

Hybrid

Posted April 10, 2026

Job Description

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Position Overview

The Data Platform Engineer is responsible for designing, building, and operating a cloud-native data platform built on Snowflake and public cloud infrastructure. This role owns the full lifecycle of the data platform — from cloud environment provisioning and data lake architecture to transformation pipelines, security enforcement, and data sharing — enabling reliable, governed, and scalable data access across the organization.

Key Responsibilities

Provision and manage cloud environments including storage, networking, and IAM across public cloud platforms (AWS / GCP / Azure).
Architect and administer Snowflake as the organization's unified Data Lake and Data Warehouse platform.
Define and enforce Data Access Policies with encryption, IAM, and Snowflake network policies.
Build and maintain dbt transformation models with Git-based version control across staging and production data layers.
Define platform standards, and best practices for data ingestion, transformation, and consumption layers.

Required Skills & Experience

Hands-on experience with at least one major public cloud platform (AWS, GCP, or Azure), covering storage, networking, and IAM.
Strong Snowflake administration skills including RBAC design, Data Sharing, external tables, and Snowpark.
Proficiency in dbt (Core or Cloud) for model development, testing, and documentation.
Experience with Infrastructure-as-Code tooling such as Terraform for cloud resource provisioning.
Experience with pipeline orchestration using Snowflake Scheduling, Apache Airflow, or equivalent tools.

Scope of Ownership

Responsible for the end-to-end design, provisioning, and operation of the cloud data platform — spanning raw ingestion zones through to curated, analytics-ready data layers — ensuring reliability, scalability, and cost efficiency across all environments.
Maintains overall responsibility for the unified data warehouse and lake platform architecture, including performance tuning, resource management, cost governance, and the evolution of the platform as organizational data needs grow.
Owns the transformation layer from design through to production, ensuring data models, testing frameworks, and documentation are accurate, consistent, and fit for consumption across all downstream use cases.
Drives the definition and adoption of platform-wide standards covering data ingestion, transformation, and consumption patterns, and evaluates tooling and architectural decisions as the platform matures.

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