The “Microsoft Fabric Engineer” is a senior technical leadership role responsible for the architecture, governance, and optimization of the enterprise Microsoft Fabric Analytics Platform. This role defines how Power BI and Fabric are designed, consumed, and governed across the organization, ensuring scalable, secure, and cost-effective use of analytics capabilities.

This position serves as the authoritative decision-maker for Fabric capacity usage, and platform design standards, while providing architectural guidance to analytics development teams. And also Power BI strategy

KEY RESPONSIBILITIES

Platform Architecture & Ownership

• Define and maintain the enterprise architecture for Microsoft Fabric.

• Establish architectural standards, reference designs, and best practices for analytics solutions.

• Ensure platform scalability, performance, security, and reliability across all workloads.

• Act as the technical authority for platform design decisions and architectural exceptions.

Fabric Capacity Architecture

• Architect Fabric capacity usage models based on workload type, concurrency, and business criticality.

• Continuously optimize the balance between license-based and capacity-based consumption to control cost and performance.

• Design and own the Power strategy, determining when users require:

  • Power BI Pro or Premium Per User licenses

  • Placement of workloads and users within Fabric capacities

Governance & Usage Control

• Define governance policies for workspace structure, access control, dataset reuse, and deployment patterns.

• Guide teams on efficient use of Fabric compute resources and Power BI capabilities.

• Prevent over-consumption and misuse of capacity through architectural controls and design reviews.

Developer Architecture Guidance

• Provide architectural direction and design reviews for Power BI and Fabric solutions.

• Advise developers on:

  • Semantic model design

  • Performance optimization

  • Refresh strategies and workload separation

• Promote standardized patterns and shared assets to reduce duplication and improve maintainability.

Monitoring, Reporting & Chargeback Enablement

• Architect and deliver Power BI reports and dashboards to monitor:

  • Power BI license assignment and utilization

  • Fabric capacity consumption and trends

  • Workspace, dataset, and workload usage

• Enable chargeback or showback models by providing reliable, auditable consumption metrics.

• Provide leadership with insights into platform cost drivers and optimization opportunities.

Strategic Evolution

• Stay aligned with Microsoft Fabric and Power BI roadmap and licensing changes.

• Evaluate new Fabric capabilities and define adoption patterns.

• Drive continuous improvement of the analytics platform architecture.

REQUIRED SKILLS & EXPERIENCE

Technical & Architectural Expertise

• Expert-level knowledge of Microsoft Power BI administration, licensing, and governance.
• Strong hands-on experience with Microsoft Fabric, including capacities and workload monitoring.
• Deep understanding of:

o Semantic models and shared datasets

o Performance tuning and optimization

o Enterprise BI security and access models

• Experience with Power BI Admin Portal, REST APIs, and capacity metrics (preferred).

Governance & Cost Optimization

• Proven experience architecting and governing enterprise analytics platforms.
• Strong understanding of licensing, capacity planning, and cost optimization principles.
• Experience supporting FinOps, chargeback, or showback models is highly desirable.

Communication

• Ability to influence and guide developers, data engineers, and solution architects.
• Strong stakeholder communication skills, including explaining architectural and cost trade-offs.
• Comfortable working with IT leadership, Finance, and Procurement teams.

Experience & Seniority

• 7+ years experience in BI, analytics, or data platforms.
• 3+ years in a senior architect or platform lead role.
• Experience operating analytics platforms at enterprise scale.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, Electronics Engineering, Software Engineering or related field
• Fluent English required