Senior Power Platform Engineer

Responsibilities

• Design, build, and maintain Copilot Studio agents to support business workflows and automation.
• Integrate Copilot agents with enterprise systems using Power Automate, Dataverse, and Microsoft 365.
• Enforce Power Platform governance, including environment strategy and Data Loss Prevention (DLP) policies.
• Manage the full agent lifecycle from intake and development through testing, deployment, and optimization.
• Support application lifecycle management (ALM) practices and controlled promotion across environments.
• Collaborate with stakeholders and architects to align agent capabilities with enterprise strategy.

Requirements

• Proven experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, and Power Virtual Agents).
• Hands-on expertise with Microsoft Copilot Studio and AI Builder.
• Experience with Copilot Studio agent design and lifecycle management.
• Strong understanding of ALM, DevOps, and modern engineering practices.
• Knowledge of security and compliance controls including Entra ID, OAuth2, and Purview.
• Familiarity with Dataverse, Azure OpenAI, and Retrieval-Augmented Generation (RAG) techniques.
• Strong development skills in C#, .NET, JavaScript, or Python.
• Experience building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions.

Preferred Qualifications

• Relevant certifications such as PL-400, PL-600, AI-102, AZ-204, SC-300, PL-300, or AZ-305.

Benefits

• Generous paid time off and paid sick time.
• Up to 16 weeks of 100% paid parental leave after one year of employment.
• Competitive 401k with company matching.
• Medical, dental, and vision insurance for employees and dependents.
• Education assistance and extensive training resources.
• Paid volunteer days and donation matching through the Do Good Program.

About the Company

Dun & Bradstreet is a global leader in business decisioning data and analytics. For over 180 years, we have helped companies worldwide grow, manage risk, and innovate by turning uncertainty into opportunity.