A Power Platform Solution Architect designs, governs, and optimizes enterprise-grade low-code solutions using Microsoft Power Platform Apps, Model Driven Apps, Power Automate, BI and Dataverse. Key responsibilities include creating scalable architectures, establishing security/governance policies, leading ALM practices, and integrating with Dynamics 365/Azure to meet business needs. Key Responsibilities: Architecture & Design - Lead Power Platform solution architecture Technical Leadership - Manage and mentor development teams Solution Delivery - Oversee full project lifecycle delivery Stakeholder Engagement - Bridge business and technical teams Dataverse & Integration - Design complex data models and integrations Enterprise Architecture Alignment - TOGAF/Zachman frameworks, reusable components, architectural blueprints Performance Optimization - Tune and troubleshoot solutions Multi-Tier Solution Design - N-tier architecture, custom connectors, Azure Functions, microservices,



hybrid cloud patterns Innovation & Learning - Stay current with Microsoft roadmap Documentation & Knowledge Transfer - Create technical docs and train teams Required Skills and Qualifications Core Expertise: Deep knowledge of Dataverse, Power Apps (Canvas/Model-Driven), Power Automate, and Power Pages. Architectural Experience: Proven experience in designing enterprise-level, secure, and integrated Power Platform solutions. Technical Skills: Proficiency in Data Modeling, Azure integrations, API management, and ALM tools (e.g., DevOps). Certifications: Microsoft Certified: Power Platform Solution Architect Expert (PL-600) is typically required or highly preferred. Soft Skills: Solid communication, leadership, mentoring, and conflict-resolution skills. Typical Experience Level Minimum of 5–7+ years of IT experience, with 3+ years specifically in Microsoft Power Platform and/or Dynamics 365 CRM, often requiring experience in leading technical teams.

📌 Power Platform Solution Architect - SM Level (Chennai)
🏢 People First Consultants
📍 Chennai