Senior Databricks Platform Security Engineer

Rising Tide Digital, Inc.; Taguig; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Rising Tide Digital, Inc. is seeking a senior Cloud Security Engineer to design and maintain secure Databricks architectures in a dedicated client deployment for a digital financial institution. The role focuses on Unity Catalog, IAM, data governance, and audit logging within a regulated environment.

You will develop AI-powered agents to automate security workflows and integrate log data with Splunk, while collaborating with data engineering and cloud teams to address risks and ensure compliance.

Qualifications

• At least 5 years of experience in Cloud Security, Data Security, or Security Engineering.
• Minimum of 2 years of hands-on Databricks experience in an enterprise environment.
• Strong knowledge of Databricks security features, particularly Unity Catalog, access controls, workspace administration, and audit logging.
• Proficiency in Python scripting and automation; Terraform experience is preferred.
• Experience with Azure and/or AWS cloud security, networking, IAM, and data protection.
• Familiarity with financial services security requirements and regulatory frameworks such as PCI-DSS, SOX, and GLBA.
• Experience with SIEM tools, preferably Splunk.

Responsibilities

• Design, implement, and maintain security architecture and controls across the Databricks platform.
• Manage Unity Catalog, identity and access management, workspace security, and data governance.
• Develop AI-powered agents to automate security workflows, access reviews, risk assessments, and audit reporting.
• Implement security monitoring and integrate Databricks audit logs with SIEM platforms such as Splunk.
• Automate security configurations and controls using Python, Terraform, and Databricks APIs.
• Collaborate with data engineering, cloud, and cybersecurity teams to address security risks and ensure compliance.

Skills

Cloud security

Data security

Security engineering

Databricks

Unity Catalog

Python scripting

Terraform

Azure

AWS

SIEM

PCI-DSS

Tools

Databricks

Splunk

Job description

Work Setup: Project-hire | Dedicated Client Deployment
Industry: Digital Financial Institution
Team: Cybersecurity

Key Responsibilities

• Design, implement, and maintain security architecture and controls across the Databricks platform.

• Manage Unity Catalog, identity and access management, workspace security, and data governance.

• Develop AI-powered agents to automate security workflows, access reviews, risk assessments, and audit reporting.

• Implement security monitoring and integrate Databricks audit logs with SIEM platforms such as Splunk.

• Automate security configurations and controls using Python, Terraform, and Databricks APIs.

• Collaborate with data engineering, cloud, and cybersecurity teams to address security risks and ensure compliance.

Qualifications

• At least 5 years of experience in Cloud Security, Data Security, or Security Engineering.

• Minimum of 2 years of hands-on Databricks experience in an enterprise environment.

• Strong knowledge of Databricks security features, particularly Unity Catalog, access controls, workspace administration, and audit logging.

• Proficiency in Python scripting and automation; Terraform experience is preferred.

• Experience with Azure and/or AWS cloud security, networking, IAM, and data protection.

• Familiarity with financial services security requirements and regulatory frameworks such as PCI-DSS, SOX, and GLBA.

• Experience with SIEM tools, preferably Splunk.

Preferred Qualifications

• Experience developing AI/LLM-powered security automation or agent-based workflows.

• Familiarity with prompt engineering, AI orchestration frameworks, and MCP.

• Databricks, Azure, AWS, or cloud security certifications.

• Experience securing machine learning and Generative AI workloads.