Remote Data Platform Engineer (Snowflake/Azure)

HCM Nexus; Taguig; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Job summary

HCM Nexus is seeking a Systems Engineer – Mid Level to manage cloud data platforms supporting analytics and AI/ML workloads. Focus areas include Snowflake, Databricks, and Azure; you will ensure platform availability, performance, security, scalability, and cost efficiency.

You will collaborate with data engineers, data scientists, BI teams, architects, and global stakeholders while driving automation, production support, and operational excellence.

Qualifications

• 5–7+ years of experience in data platforms, database administration, systems engineering, or software engineering.
• Hands-on Snowflake administration including warehouse management, query tuning, clustering, caching, cost governance, Time Travel, and replication.
• Hands-on Databricks experience including 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 using Python and/or PowerShell.
• Experience with Azure Data Factory, Databricks, and Azure SQL, including connectivity, authentication, and monitoring.

Responsibilities

• Manage and optimize Snowflake and Databricks environments for performance, scaling, workload isolation, and cost management.
• Support Azure SQL and Azure Data Factory environments.
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory.
• Implement security and governance controls including RBAC, encryption, auditing, masking, lineage, and Entra ID integration.
• Monitor and tune queries and workloads using Snowflake, Databricks, and Azure monitoring tools.
• Implement backup, replication, archival, and disaster recovery strategies.
• Provide production support, incident response, and root-cause analysis for platform issues.
• Collaborate with data and technology teams to support scalable data models, integrations, and reporting.
• Evaluate and adopt new platform capabilities to improve governance, automation, and operational efficiency.
• Maintain technical documentation including SOPs, runbooks, architecture diagrams, and DR plans.

Skills

Snowflake

Databricks

Azure

SQL

Python

PowerShell

RBAC

CI/CD

Data pipelines

Tools

Azure Data Factory

Azure SQL

Snowflake

Databricks

Entra ID

Monitoring tools

Job description

HCM Nexus is seeking a Systems Engineer – Mid Level to manage cloud data platforms supporting analytics and AI/ML workloads. Focus areas include Snowflake, Databricks, and Azure; you will ensure platform availability, performance, security, scalability, and cost efficiency.

You will collaborate with data engineers, data scientists, BI teams, architects, and global stakeholders while driving automation, production support, and operational excellence.