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Microsoft Power Platform Solution Architect / Technical Lead

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Onsite

Microsoft Power Platform Solution Architect / Technical Lead

WorldEmp

Microsoft Power Platform Solution Architect / Technical Lead

Skills

GitHubMicrosoft Power PlatformComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

17 September 2026

What they need


Title: Microsoft Power Platform Solution Architect / Technical Lead

Location: Bangalore / Pune

Job Requirements:

  • 8 to 15+ years overall IT with enterprise delivery.
  • 5 to 7+ years Power Platform architecture and development leadership.
  • Deep Dataverse modeling, security, and performance tuning experience.
  • Designed Canvas and Model-driven apps with Power Automate flows.
  • Implemented ALM and CI/CD using Azure DevOps or GitHub Actions.
  • Built integrations via custom connectors and REST APIs with resilience.
  • Experience defining DLP policies and CoE-aligned governance.

Job Responsibilities:

  • Translate functional requirements into target solution architectures and detailed technical designs.

  • Determine fit-for-purpose use of Canvas apps, Model-driven apps, Dataverse, Power Automate, and Power Pages, and when to employ custom development.

  • Define Dataverse schemas, relationships, business rules, and security models aligned with performance and compliance requirements.

  • Design and implement integration patterns using custom connectors, REST APIs, Azure Functions, Logic Apps, and messaging where applicable.

  • Establish ALM practices, environment strategy (Dev/Test/UAT/Prod), and CI/CD pipelines using Azure DevOps or GitHub Actions.

  • Produce architecture diagrams, HLD/LLD documents, and development standards and templates.

  • Own the overall architecture, technical integrity, and coherence of Power Platform solutions.

  • Decide between Canvas, Model-driven, Power Pages, and custom development approaches based on requirements and constraints.

  • Ensure solutions meet non-functional requirements for security, performance, scalability, maintainability, and supportability.

  • Define and maintain ALM practices, environment topology, branching strategies, and deployment pipelines.

  • Govern data architecture and integration strategies across enterprise systems and data domains

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