Cloud Data Platform Engineer – Snowflake/Databricks

McNeil & Co.; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Arch Global Services (Philippines) Inc. is seeking a System Engineer to manage cloud data platforms, mainly Snowflake and Databricks, ensuring availability, security, and cost efficiency. You will support analytics workloads, automate operations, and collaborate with global teams.

Responsibilities include data pipelines, governance, DR planning, and production support with a focus on scalable data models and reporting.

Qualifications

• BS degree in CS, Engineering or Information Systems with 5–7+ years in data platforms.
• Hands-on Snowflake and Databricks administration and tuning.
• Strong SQL and scripting in Python or PowerShell.
• Experience with Azure data services and security governance.

Responsibilities

• Manage and optimize Snowflake and Databricks environments including performance tuning and cost controls.
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory.
• Enforce security controls: RBAC, encryption, auditing, masking, and Entra ID integration.
• Collaborate with engineers and architects to support scalable data models and reporting.
• Provide production support and incident response for data platforms.

Skills

Snowflake administration

Databricks administration

Azure data services

SQL proficiency

Python scripting

Data governance

Security controls (RBAC, encryption)

CI/CD / DevOps for data

Production support

Education

BS in Computer Science/Engineering/IS

Tools

Snowflake

Databricks

Azure Data Factory

Azure SQL

Azure Monitor

Job description

Arch Global Services (Philippines) Inc. is seeking a System Engineer to manage cloud data platforms, mainly Snowflake and Databricks, ensuring availability, security, and cost efficiency. You will support analytics workloads, automate operations, and collaborate with global teams.

Responsibilities include data pipelines, governance, DR planning, and production support with a focus on scalable data models and reporting.