Data Platform Architect

Project Role : Data Platform Architect

Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills : Platform Engineering

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Power BI Platform Engineer is a specialized technical role focused on the architecture, governance, capacity management and optimization of an organization's Power BI environment & Microsoft Fabric ecosystem.

The Platform Engineer manages the overall Power BI and Microsoft Fabric environment, ensuring that the platform is secure, compliant, and optimized for high-performance delivery.

Key Responsibilities

• Tenant Administration & Security
  
  
  

Tenant Configuration: Configure and maintain Power BI tenant settings, including sharing permissions, export restrictions, and dataflow usage policies.

Identity & Access: Integrate Power BI with Microsoft Entra ID (formerly Azure AD) for secure authentication and group-based access.

Security Integration: Implement and monitor security tools such as Microsoft Purview for data labeling, sensitivity classification, and DLP (Data Loss Prevention).

Access Management: Manage workspace roles, permissions, and Row-Level Security (RLS) to ensure data is restricted to authorized users.

M365 Boundaries: Manage all Power BI-specific settings with the understanding that administrative access is limited to the Power BI/Fabric domain and does not extend to broader Microsoft 365 global services.

• Governance & Compliance
  
  
  

Workspace Management: Oversee the creation, lifecycle, and governance policies of all Power BI workspaces.

Licensing & Compliance: Assign and audit Power BI Pro, Premium Per User (PPU), and Fabric licenses monitor compliance to avoid over-provisioning or unauthorized usage.

Audit & Monitoring: Regularly review Power BI audit logs and usage metrics to track user activity and platform adoption.

Best Practices: Establish and enforce organizational standards for naming conventions, data modeling, and deployment workflows.

• Platform Engineering & Optimization
  
  
  

Capacity Management: Monitor and manage Power BI Premium/Fabric Capacity performance analyze the Fabric Capacity Metrics app to prevent throttling and optimize cost.

Gateway Management: Install, configure, and update On-premises Data Gateways for secure connection to hybrid data sources.

Data Integration: Connect to diverse data sources (Azure SQL, Lakehouse, Snowflake), utilizing Power Query (M) for complex ETL processes and data transformations.

Advanced Scripting: Utilize Python or PowerShell for platform automation, data validation, and advanced scripting within the Fabric notebook environment.

• DevOps & Collaboration
  
  
  

Lifecycle Management: Implement CI/CD pipelines for Power BI using Git integration and Power BI REST APIs.

Cross-Functional Support: Partner with Data Engineers to optimize semantic models and work with Business Analysts to ensure platform availability for reporting needs.

Semantic Model Health: Conduct performance tuning on large datasets using tools like DAX Studio or ALM Toolkit.

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