About the Role

The Power BI Platform Engineer is responsible for the architecture, administration, scalability, and governance of the enterprise Power BI and Microsoft Fabric ecosystem. Rather than focusing solely on building visual dashboards, this role operates under a platform-engineering mindset—treating BI infrastructure as a managed product. You will oversee workspace design, premium capacity/Fabric capacity management, data refresh optimization, enterprise-scale gateway architectures, and CI/CD deployment pipelines. Working at the intersection of BI developers, enterprise data platform teams, and governance bodies, you ensure high availability, data security, performance standards, and cost-productive capacity utilization across the entire organization.

Responsibilities

- Tenant Administration & Platform Governance: Manage Power BI tenant settings, capacity configurations, licensing allocation, and organizational governance policies. Implement best practices for workspace lifecycles, access control, and workspace domain hierarchies.
- Capacity & Performance Optimization: Monitor and tune Fabric/Power BI capacities (F-SKUs and P-SKUs) using Microsoft Fabric Capacity Metrics. Identify memory throttling, CPU spikes, and query timeouts, partnering with semantic model developers to resolve bottlenecks.
- Enterprise Gateway Management: Architect, configure, patch, and monitor high-availability On-Premises Data Gateway clusters to ensure resilient hybrid connectivity to on-prem data warehouses and private network endpoints.
- CI/CD & DevOps Automation: Build and standardize automated release management using Power BI Deployment Pipelines, Fabric Git integration (Azure DevOps / GitHub), and PowerShell/Fabric REST APIs for automated deployments, regression checks, and model backups.




- Security & Compliance: Implement data protection policies including Microsoft Purview Information Protection sensitivity labels, Row-Level Security (RLS) / Object-Level Security (OLS) audit frameworks, and private endpoint / VNet data connectivity.
- Semantic Layer & Data Architecture Enablement: Guide enterprise teams on best practices for large-scale semantic models (Direct Lake, DirectQuery, composite models, XMLA read/write endpoints, and incremental refresh).
- Platform Operations & Support: Serve as the senior technical escalation point for platform-level outages, gateway failures, data refresh disruptions, and tenant misconfigurations.

Requirements

- Experience: 3–6 years of dedicated experience in enterprise BI administration, platform engineering, or enterprise analytics engineering with an emphasis on Power BI / Microsoft Fabric.
- Power BI & Fabric Administration: Deep practical knowledge of the Power BI Admin Portal, capacity resource allocation, tenant settings, and Fabric artifacts (Lakehouses, Warehouses, Semantic Models).
- Scripting & Automation: Strong scripting capabilities using PowerShell (MicrosoftPowerBIMgmt module) and Python, alongside familiarity with the Power BI REST APIs and Fabric Admin APIs.
- Data Connectivity & Networking: Hands-on experience deploying and load-balancing On-Premises Data Gateways, understanding network routing, service principals,



Azure VNets, and private links.
- Semantic Modeling & Optimization: Advanced knowledge of tabular models, DAX query performance tuning, and tools like DAX Studio, Tabular Editor (BIML/TOM), and ALM Toolkit.
- DevOps & Version Control: Experience establishing Git-integrated developer workflows, deployment pipelines, and environment management (Dev/Test/Prod) in Azure DevOps or GitHub.
- Security Standards: Working knowledge of Azure Active Directory (Microsoft Entra ID), conditional access, service principals, RLS/OLS, and enterprise data masking principles.

Nice to Have

- Microsoft Fabric Unified Architecture: Early adoption or production exposure to Fabric core workloads (Synapse Data Engineering, Real-Time Intelligence, OneLake shortcuts).
- Cloud Data Warehousing: Operational experience interfacing with modern data platforms such as Snowflake, Azure Databricks, or Google BigQuery.
- Infrastructure as Code (IaC): Experience provisioning Azure analytics resources and gateway machines via Terraform or Bicep/ARM templates.
- Certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or Microsoft Certified: Power BI Data Analyst Associate (PL-300).
- Cost Engineering: Experience designing internal chargeback models and usage attribution frameworks for multi-tenant BI capacities.

Pay: ₹696,000.00 - ₹1,890,000.00 per year

Benefits:

- Health insurance
- Life insurance
- Provident Fund

Application Question(s):

- Do you have experience in BI Admin Portal & Fabric Admin APIs?
- Do you have experience in CI/CD, Azure DevOps & Security Governance?

Experience:

- Power BI: 4 years (Required)

Work Location: Hybrid remote in Coimbatore, Tamil Nadu

📌 PowerBI Platform Engineer (Coimbatore)
🏢 GUHATEK CONSULTING SERVICES PRIVATE
📍 Coimbatore