About the Role:

We are looking for a Senior Associate - Security Engineering with hands-on experience in securing Microsoft Azure data platforms, Microsoft Fabric and Power BI environments. The ideal candidate should have a strong understanding of cloud identity management, data access controls, platform security and data protection.

Key Responsibilities:

- Implement and manage security controls across Microsoft Fabric, Power BI and Azure data services.

- Configure and manage workspace-level permissions, user access and role-based access controls.

- Implement Row-Level Security (RLS) and Object-Level Security (OLS) across Power BI semantic models.

- Manage identity and access through Microsoft Entra ID (Azure AD), including security groups, service principals and managed identities.

- Apply least-privilege access principles across data platforms and cloud environments.

- Secure Azure data services such as Azure Data Lake Storage (ADLS), Azure Synapse Analytics and Azure SQL.

- Support data protection initiatives involving data classification, sensitivity labels, DLP, encryption and audit policies.

- Conduct periodic access reviews, security assessments and permission audits to identify and address potential risks.

- Collaborate with data engineering, cloud infrastructure and governance teams to ensure security best practices are followed.

- Maintain security documentation, access policies and platform governance standards.

Mandatory Skills:

- 4+ years of experience in Azure Security, Cloud Security, Data Security or a related domain.

- Hands-on experience with Microsoft Fabric and/or Power BI security.

- Strong understanding of Microsoft Entra ID (Azure AD), IAM, RBAC and access management.

- Practical knowledge of Power BI Row-Level Security (RLS) and Object-Level Security (OLS).

- Experience with service principals, managed identities and identity-based authentication.

- Understanding of Azure data services such as ADLS, Synapse Analytics and Azure SQL.

- Knowledge of data protection, access governance, auditing and least-privilege security principles.

Good to Have:

- Experience with Microsoft Purview, data classification and data governance.

- Knowledge of DLP policies, encryption, sensitivity labels and compliance controls.

- Relevant Microsoft Azure or Security certifications.

- Experience securing enterprise-scale data and analytics environments.