Job Description - Power Platform ArchitectEssential Skills and ExperiencePower 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 ResponsibilitiesSolution 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 & ToolsMicrosoft 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
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.