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. The role owns the full lifecycle from provisioning to data sharing, ensuring reliable and scalable data access.
Key Skills for This Role
Responsibilities
- Provision and manage cloud environments including storage, networking, and IAM across public cloud platforms
- 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
- 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)
- 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
- Experience with pipeline orchestration using Snowflake Scheduling, Apache Airflow, or equivalent
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.
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 end to end design, provisioning, and operation of the cloud data platform.
- Maintains overall responsibility for unified data warehouse and lake platform architecture.
- Owns the transformation layer from design through to production.
- Drives definition and adoption of platform wide standards.
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