ARCHITECT - ARCHITECT

Essential Skills and Experience

Power Platform Expertise

• Deep hands-on experience with Power Apps (Canvas & Model Driven), Power Pages, Power Automate (Cloud & Desktop RPA), Power Platform CoE Toolkit, Power BI, and Dataverse.

Integration Knowledge

• Proficiency with REST APIs, Custom connectors, Azure Logic Apps, and other integration patterns.

Azure Services

• Familiarity with Azure Functions, Logic Apps, Blob Storage, Key Vault, VNet, and App Services.

AI Knowledge

• Experience with Microsoft Copilot, Chat Bot, AI Builders, Azure AI Foundry, Azure Open AI for effective usage of AI capabilities across Power Platform.

DevOps & ALM

• Experience with Application Lifecycle Management using Azure DevOps, GitHub, and deployments using CI/CD pipelines, Power Platform Pipelines, Manual Export & Import.

Problem Solving

• Strong analytical and troubleshooting skills for functional design and system architecture.

Communication & Leadership

• Excellent communication, stakeholder management, and leadership skills to collaborate effectively and drive initiatives.

Business Acumen

• Ability to understand and align technical solutions with business goals.

Key Responsibilities

Solution Design

• Architect end-to-end solutions using the Power Platform to meet business objectives.

Requirements Gathering

• Work with stakeholders to understand business needs and translate them into functional, scalable Power Platform solutions.

Technical Leadership

• Lead technical design, development, and decision-making processes, ensuring best practices and coding standards are followed.

Integration

• Design and build robust integrations with Microsoft services (M365, D365), Azure services, and third-party systems via APIs and custom connectors.

Governance

• Implement governance measures such as environment strategies, DLP policies, and the CoE Starter Kit.

Mentorship

• Guide and mentor development teams on Power Platform best practices and architecture patterns.

Data Architecture

• Support the creation of data models within Dataverse for data consistency and quality.

Innovation

• Drive digital transformation initiatives by leveraging low-code/no-code capabilities with AI and other technologies.

Key Technologies & Tools

Microsoft Power Platform

• Power Apps (Canvas & Model Driven), Power Pages, Power Automate (Cloud & Desktop RPA), Power Platform CoE Toolkit, Power BI, Power Virtual Agents.

Microsoft Ecosystem

• Microsoft 365, Dynamics 365.

Data Management

• Dataverse, SQL, SharePoint.

Azure Services

• Azure Functions, Azure Blob Storage, Azure Key Vault, Azure VNet, Logic Apps, App Services.

Integration Tools

• APIs, Custom connectors.

AI Services

• Microsoft Copilot, Chat Bot, AI Builders, Azure AI Foundry, Azure Open AI.

DevOps & ALM

• Manual Export/Import of solutions, Power Platform Pipelines, Azure DevOps CI/CD Pipelines, Azure DevOps, GitHub.