<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]While Power BI supports role-level security (RLS), it lacks advanced features like column-level security or masking sensitive data within the platform. [/size][size= 11pt; font-family: Arial,sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap]Power BI developer[/size][size= 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap] must often implement additional security measures using external systems like Azure Synapse or SQL Server. These integrations increase project complexity and may not fully align with Power BI&rsquo;s native capabilities. Managing user roles and permissions across multiple workspaces and datasets also poses challenges, particularly in large organizations. Developers must ensure compliance with data privacy regulations while delivering seamless user experiences, balancing security with functionality in ways that Power BI&rsquo;s native tools alone cannot always achieve.[/size]