TekStaff's Client has a current vacancy for an Azure Security Architect – Databricks & AI/ML

Candidate Requirements/Must Have Skills:
10+ years in information security, with at least 4 years in cloud security architecture in Azure environments.
Deep knowledge of Azure Databricks security concepts: Unity Catalog, workspace isolation, cluster policies, secrets management, network controls, and audit logging — including practical experience assessing or advising on these areas.
Robust understanding of Azure security services.
Practical knowledge of AI/ML security risks and established frameworks (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS).
Demonstrated experience in a consulting, advisory, or embedded security architect role — influencing implementation.

Nice-To-Have Skills:
Certifications: AZ-500 (Azure Security Engineer),



Databricks Certified Data Engineer Skilled, CISSP, CCSP, or equivalent
Experience conducting threat modeling and risk assessments for complex cloud data environments
Prior background in data engineering or ML engineering — enabling more credible and practical security conversations with platform teams
Familiarity cloud security posture management (CSPM) platforms
Experience advising on multi-cloud security (Azure or GCP)

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

📌 Azure Security Architect – Databricks Toronto
🏢 Tekstaff IT Solutions
📍 Toronto