Senior/Staff Data Platform Engineer - (Bangkok based, relocation provided)
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Key skills for this role
About the Role
Agoda is looking for a Senior/Staff Data Platform Engineer to design, build, and operate a cloud-native data platform on Snowflake and public cloud infrastructure.
Key Skills for This Role
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
Requirements
- 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
Full Job Posting
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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