Data Security Engineer

About This Role

The Data Security Engineer implements data access policies, classification, and privacy controls for a leading insurance client. This role suits an experienced engineer who can consolidate data from multiple source platforms onto a modern, governed data platform built on Snowflake, Collibra, BigID, and Immuta.

Responsibilities

• Design and implement data access policies in Immuta for Snowflake, including attribute-based and purpose-based access controls
• Configure the Immuta and Snowflake integration, including data source registration, user attributes, policy enforcement, and audit
• Implement row-level security, column masking, and dynamic data protection for sensitive and personal data
• Configure BigID to discover, classify, and tag sensitive data across Snowflake and other sources, and tune classifiers to reduce false positives
• Connect BigID classifications and Collibra metadata to Immuta to drive automated, tag-based access policies
• Translate privacy, regulatory, and internal data handling requirements, including GDPR, into enforceable technical controls
• Define and implement data security standards, including role design, least-privilege access, and segregation of duties
• Set up monitoring, auditing, and reporting on data access, policy coverage, and compliance
• Support data subject requests, retention, and privacy workflows where required
• Work with the architecture, engineering, and governance teams to embed security controls into data pipelines and onboarding processes
• Document policies, controls, and operating procedures, and support knowledge transfer to the client’s teams

Requirements

• Hands-on experience implementing Immuta, ideally integrated with Snowflake
• Hands-on experience with BigID for data discovery, classification, and privacy use cases
• A strong understanding of Snowflake security, including role-based access control, masking, and row access policies
• Experience implementing attribute-based access control (ABAC) and policy-as-code approaches
• Good knowledge of data privacy regulations such as GDPR and how they apply to data platforms
• Familiarity with data governance tooling such as Collibra and how it connects to classification and access controls
• SQL and Python scripting experience
• Experience in regulated industries such as insurance or financial services is highly desirable
• Strong communication skills and the ability to explain security controls to technical and business stakeholders
• The ability to work independently and hit the ground running

Benefits

• Equal-opportunity and inclusive employer committed to creating an inclusive environment for all applicants and employees