Data Security Engineer
United States
Full-time
3 hours ago
$180,000 - $220,000 USD
H1B Sponsor
Key skills
PythonSQLAILLMData EngineeringSnowflakeRedshiftDatabricksAWSAzureKubernetesDockerIAMGlueOracleOkta
About this role
Colossus Technologies Group is a boutique cloud-focused security firm specializing in secure data deployments and security training solutions. They are seeking a Data Security Engineer to secure and manage access to sensitive data while collaborating with engineering teams to implement security across cloud applications.
Responsibilities:
- Secure and manage access to sensitive financial and HR data
- Build, manage, and manipulate datasets powering customer-facing applications
- Ensure data security and privacy across cloud and AI/LLM ecosystems
- Lead and support identity and access management (IAM) initiatives
- Drive data governance and privacy best practices
- Collaborate with cloud and engineering teams to implement security across applications, containers, and infrastructure
Requirements:
- 5+ years of experience in data security engineering
- Strong hands-on experience securing data environments
- Experience supporting scalable AI/LLM integrations
- Secure and manage access to sensitive financial and HR data
- Build, manage, and manipulate datasets powering customer-facing applications
- Ensure data security and privacy across cloud and AI/LLM ecosystems
- Lead and support identity and access management (IAM) initiatives
- Drive data governance and privacy best practices
- Collaborate with cloud and engineering teams to implement security across applications, containers, and infrastructure
- Identity & Access Management: Okta, Identity governance frameworks
- Cloud Platforms: AWS, Azure
- Databases / Backend: Oracle, Snowflake, Databricks
- Data Engineering & Management: Enabling secure AI/LLM access to structured and unstructured data, Provisioning temporary and scalable data access for customers, Managing large data sets (blobs), querying and transforming data, and organizing into appropriate environments (Glue, Redshift)
- Programming & Infrastructure: SQL, Python, Docker, Kubernetes, Infrastructure as Code (IaC)
- Security & Governance: Data Loss Prevention (DLP), data semantics, Microsoft Purview, Cloud application security, Data governance and privacy frameworks
- Understanding API architecture and securely connecting data to LLM systems