Imagine being part of a team that is actively driving the future. At Davies, we combine technology, analytics, and professional services to help clients solve complex business challenges. We are seeking a Security Engineer with Microsoft Fabric and Azure experience to design, implement, and govern secure data platform access, identity controls, row-level security, and compliance-ready security patterns. Key Responsibilities Design and implement security controls across Microsoft Fabric, Azure, Power BI, warehouses, lakehouses, semantic models, and analytics services. Develop row-level security, object-level security, workspace access models, role assignments, and least-privilege patterns using Microsoft Entra ID groups. Partner with engineering, analytics, infrastructure, and governance teams to secure pipelines, reporting assets, AI solutions, and client-facing analytics. Perform security reviews, access audits, permission testing, data classification validation, and risk remediation across Fabric and Azure. Create reusable security standards, implementation guides, monitoring practices, and documentation for scalable platform operations. Skills, Knowledge and Expertise Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Data Engineering, or a related field. 4+ years of experience in cloud security, data platform security, identity and access management, or Azure security engineering. Hands-on experience securing Microsoft Fabric, Power BI, Azure Data Lake, Azure Synapse, Azure SQL, Azure Storage, or similar analytics platforms. Strong understanding of RLS, role-based access control, Microsoft Entra ID, service principals, managed identities, networking, encryption, auditing, and DLP. Ability to translate security requirements into practical controls, test plans, documentation, governance standards, and business-friendly recommendations.
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