Systems Engineer, Data Platforms (Snowflake/Databricks)

archgroup; Manila; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

Arch Global Services (Philippines) Inc. seeks a System Engineer to manage cloud data platforms (Snowflake, Databricks) and enable analytics, AI/ML workloads, and automation. You will ensure availability, security, cost efficiency, and collaborate with global teams.

Responsibilities include building data pipelines, enforcing governance, tuning workloads, and supporting DR strategies while iterating on platform improvements.

Qualifications

• Hands-on Snowflake administration: warehouse management, tuning, clustering, cost governance, Time Travel.

Responsibilities

• Manage Snowflake and Databricks environments for performance tuning, cost controls, workload isolation, and Azure SQL/ADF support.
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory.
• Enforce security and governance: RBAC, encryption, auditing, masking, lineage, Entra ID integration.
• Tune queries with Snowflake and Databricks tools and Azure Monitor.
• Implement disaster recovery, replication, backup, and archival strategies.
• Collaborate with data engineers, scientists, BI teams, and architects to support scalable data models and reporting.
• Provide production support, incident response, and root-cause analysis for data-platform issues.
• Evaluate and adopt new platform features like Snowflake Native Apps and Unity Catalog.

Skills

Snowflake Admin

Databricks Admin

Unity Catalog

SQL

Python/PowerShell

Azure Data Services

Security & RBAC

Backup/DR

CI/CD / DevOps

Documentation

Communication

AI services awareness

Education

BS in Computer Science/Engineering/IS

Tools

Azure Data Factory

Job description

Arch Global Services (Philippines) Inc. seeks a System Engineer to manage cloud data platforms (Snowflake, Databricks) and enable analytics, AI/ML workloads, and automation. You will ensure availability, security, cost efficiency, and collaborate with global teams.

Responsibilities include building data pipelines, enforcing governance, tuning workloads, and supporting DR strategies while iterating on platform improvements.