Cloud Data Platform Engineer: Snowflake & Databricks

Arch Insurance Group Inc.; Manila; Vor Ort; PHP 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Arch Global Services (Philippines) Inc. is seeking a System Engineer to manage and optimize cloud data platforms, primarily Snowflake and Databricks, ensuring availability, performance, security, and cost efficiency.

You will support enterprise analytics and AI/ML workloads and collaborate with global teams. The role requires hands-on Snowflake and Databricks administration, SQL proficiency, and experience with Azure data services.

Qualifikationen

• Extensive experience with Snowflake administration and Databricks environments.
• Proficient in SQL and scripting with Python and PowerShell.
• Experience with Azure data services including Data Factory and Azure SQL.
• Strong security governance knowledge (RBAC, encryption, auditing).

Aufgaben

• Manage Snowflake and Databricks environments, tune performance and costs.
• Build data pipelines with Databricks, Snowflake Streams/Tasks, and Azure Data Factory.
• Enforce security and governance including Entra ID integration.
• Tune queries using Snowflake and Databricks tools.
• Implement DR, backup, and archival strategies across platforms.
• Collaborate with data engineers, data scientists, BI teams on data models.
• Provide production support and incident response.
• Evaluate new platform features to improve governance.

Kenntnisse

SQL

Python

PowerShell

RBAC security

CI/CD & DevOps

Ausbildung

BS in Computer Science, Engineering, Information Systems, or equivalent practical experience

Tools

Snowflake

Databricks

Azure Data Factory

Azure SQL

Azure Monitor

Entra ID / Azure AD

Jobbeschreibung

Arch Global Services (Philippines) Inc. is seeking a System Engineer to manage and optimize cloud data platforms, primarily Snowflake and Databricks, ensuring availability, performance, security, and cost efficiency.

You will support enterprise analytics and AI/ML workloads and collaborate with global teams. The role requires hands-on Snowflake and Databricks administration, SQL proficiency, and experience with Azure data services.