Our client is a boutique cloud-focused security firm specializing in secure data deployments and security training solutions for behavioral health and enterprise customers. The organization places a strong emphasis on securing, governing, and managing sensitive data across cloud environments.

The company is strong and lean. This is an opportunity to join a growing organization where individual contributions directly influence architecture, security posture, and customer success.

The Role

Title: Data Security Engineer

Location: Remote

Employment Type: Full-Time

Experience Required: 5+ years

This role sits at the intersection of cloud security, data engineering, and AI enablement. The ideal candidate has strong hands-on experience securing data environments while supporting scalable AI/LLM integrations.

Key Responsibilities

1. Secure and manage access to sensitive financial and HR data
2. Build, manage, and manipulate datasets powering customer-facing applications
3. Ensure data security and privacy across cloud and AI/LLM ecosystems
4. Lead and support identity and access management (IAM) initiatives
5. Drive data governance and privacy best practices
6. Collaborate with cloud and engineering teams to implement security across applications, containers, and infrastructure

Technical Requirements

Identity & Access Management

1. Okta
2. Identity governance frameworks

Cloud Platforms

1. AWS
2. Azure

Databases / Backend

1. Oracle
2. Snowflake
3. Databricks

Data Engineering & Management

1. Enabling secure AI/LLM access to structured and unstructured data
2. Provisioning temporary and scalable data access for customers
3. Managing large data sets (blobs), querying and transforming data, and organizing into appropriate environments (Glue, Redshift)

Programming & Infrastructure

1. SQL
2. Python
3. Docker
4. Kubernetes
5. Infrastructure as Code (IaC)

Security & Governance

1. Data Loss Prevention (DLP), data semantics, Microsoft Purview
2. Cloud application security
3. Data governance and privacy frameworks

APIs

1. Understanding API architecture and securely connecting data to LLM systems

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