Cloud Data Platform Engineer - Snowflake, Databricks, Azure

Arch Global Services Philippines; Manila; Vor Ort; PHP 1.800.000 - 2.400.000; Vollzeit

Zusammenfassung

Arch Global Services Philippines is seeking a System Engineer to manage Snowflake and Databricks environments, build data pipelines, and enforce security governance across cloud data platforms. The role requires expertise in Azure services and data workflows, with collaboration across global teams.

The ideal candidate will implement DR plans, optimize performance, and contribute to scalable analytics and AI/ML workloads while evolving with new platform features.

Qualifikationen

• BS in Computer Science, Engineering, Information Systems, or equivalent practical experience (typically 5-7+ years) in data platforms, database administration, or software engineering.

Aufgaben

• Manage and optimize Snowflake and Databricks environments, including performance tuning, cost controls, workload isolation, and scaling; provide secondary support for Azure SQL and Azure Data Factory.
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory.
• Enforce security and governance controls including RBAC, encryption, auditing, masking, lineage, and Entra ID (Azure AD) integration.
• Tune queries and workloads using native tools such as Snowflake Query Profile, Databricks SQL Analytics, and Azure Monitor.
• Implement and maintain disaster recovery, replication, backup, and archival strategies across platforms.
• Collaborate with data engineers, data scientists, BI teams, and architects to support scalable data models, integrations, and reporting.
• Evaluate and adopt new platform features (e.g., Snowflake Native Apps, Databricks Unity Catalog) to improve governance and automation.

Jobbeschreibung

Arch Global Services Philippines is seeking a System Engineer to manage Snowflake and Databricks environments, build data pipelines, and enforce security governance across cloud data platforms. The role requires expertise in Azure services and data workflows, with collaboration across global teams.

The ideal candidate will implement DR plans, optimize performance, and contribute to scalable analytics and AI/ML workloads while evolving with new platform features.