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Systems Engineer – Mid Shift
Location
Philippines
Posted
5 days ago
Salary
0
Seniority
Senior
Job Description
Systems Engineer – Mid Shift
Arch Global Services (Philippines) Inc.
• 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. • Provide production support, incident response, and root-cause analysis for data platform issues. • Evaluate and adopt new platform features (e.g., Snowflake Native Apps, Databricks Unity Catalog) to improve governance and automation.
Job Requirements
- Hands-on Snowflake administration: warehouse management, query tuning, clustering, caching, cost governance, Time Travel, and replication.
- Hands-on Databricks administration: workspaces, clusters, SQL Warehouses, jobs, policies, and workload isolation.
- Experience with Databricks Unity Catalog, data governance, lineage, and access controls.
- Proficiency in SQL and scripting with Python and/or PowerShell.
- Experience with Azure data services (Data Factory, Databricks, Azure SQL), including connectivity, authentication, and monitoring.
- Strong understanding of platform security: RBAC, encryption, auditing, masking, and Entra ID integration.
- Experience with backup, recovery, and DR strategies including Snowflake replication and Time Travel.
- Proven production support skills with ability to resolve complex, cross-platform incidents.
- Familiarity with CI/CD and DevOps practices for data platform deployments.
- Solid documentation skills — SOPs, runbooks, architecture diagrams, and DR plans.
- Clear communicator who works well with both technical and non-technical stakeholders.
- Awareness of AI services relevant to platform administration.
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