Systems Engineer -Mid Level (Snowflake and Databricks) Night Shift

Quess Philippines Corp.; Taguig; Hybrid; PHP 800,000 - 1,200,000; Full time

Job summary

Quess Philippines Corp. is seeking a senior data platform engineer to manage Snowflake and Databricks environments, optimize performance, and enforce governance.

You will build data pipelines across Databricks, Snowflake, and Azure Data Factory, while ensuring security, auditing, and disaster recovery across cloud platforms. You will collaborate with data engineers, data scientists, and BI teams to enable scalable data models and reporting, with production support and incident response as part

Qualifications

• Hands-on Snowflake admin including time travel and replication.
• Hands-on Databricks admin: workspaces, clusters, and SQL Warehouses.
• Experience with Databricks Unity Catalog and data governance.
• Proficiency in SQL and scripting with Python and/or PowerShell.
• Experience with Azure data services (Data Factory, Databricks, Azure SQL) and monitoring.
• Strong understanding of platform security: RBAC, encryption, auditing, masking.
• Experience with backup, recovery, and DR strategies for cross-platform data.
• Proven production support for complex, cross-platform incidents.
• Familiarity with CI/CD and DevOps practices for data deployments.
• Solid documentation skills: SOPs, runbooks, architecture diagrams.

Responsibilities

• Manage and optimize Snowflake and Databricks environments with performance tuning.
• Implement cost controls, workload isolation, and scaling strategies.
• Provide secondary support for Azure SQL and Azure Data Factory.
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and ADF.
• Enforce security and governance controls including RBAC, encryption, auditing, masking.
• Tune queries with Snowflake Query Profile, Databricks SQL Analytics, and Azure Monitor.
• Implement disaster recovery, replication, backup, and archival strategies.
• Collaborate with data engineers/scientists/BI to support scalable data models.
• Provide production support, incident response, and root-cause analysis.
• Evaluate new platform features to improve governance and automation.

Skills

Snowflake administration

Databricks administration

Unity Catalog

SQL

Python

PowerShell

Azure data services

Security governance

Backup/DR planning

Production support

CI/CD & DevOps

Documentation

Tools

Snowflake

Databricks

Azure Data Factory

Azure SQL

Azure Monitor

Entra ID (Azure AD)

Job description

About the role

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.

Key responsibilities

• 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

About you

• 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