Systems Engineer - Mid

ECLARO; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

ECLARO Philippines is seeking an experienced Data Platform Engineer to manage and optimize Snowflake and Databricks environments, including performance tuning, cost controls, workload isolation, and scaling.

You will build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory, enforce security controls, and support production incidents while collaborating with data engineers and analysts to drive scalable data models and governance.

Qualifications

• Hands-on Snowflake administration and tuning.
• Databricks administration including workspaces, clusters, and jobs.
• Experience with Unity Catalog, data governance, and access controls.
• Proficiency in SQL and scripting with Python and/or PowerShell.
• Experience with Azure data services (Data Factory, Databricks, Azure SQL).
• Strong understanding of platform security (RBAC, encryption, auditing, masking).
• Experience with backup, recovery, and DR including Snowflake Time Travel.
• Proven production support skills for cross-platform incidents.
• Familiarity with CI/CD and DevOps for data deployments.
• Solid documentation of SOPs, runbooks, architectures, and DR plans.
• Clear communicator with technical and non-technical stakeholders.
• Awareness of AI services relevant to platform administration.

Responsibilities

• Manage and optimize Snowflake and Databricks environments, including performance tuning and scaling.
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory.
• Enforce security and governance controls including RBAC, encryption, auditing, masking, and Entra ID integration.
• Tune queries and workloads using Snowflake, Databricks, and Azure Monitor tools.
• Implement and maintain disaster recovery, replication, backup, and archival strategies.
• Collaborate with data engineers, data 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 to improve governance and automation.

Skills

Snowflake Administration

Databricks Administration

Unity Catalog & Governance

SQL & Python Scripting

Azure Data Services

Security & Compliance (RBAC,Encryption

Backup/DR & Time Travel

Production Support

CI/CD / DevOps for Data

Documentation & SOPs

Effective Communicator

AI Services Awareness

Education

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

Tools

Snowflake

Databricks

Azure Data Factory

Azure SQL

Azure Monitor

Job description

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.

Required Skills/Experience

• 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.

Education

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