Senior Microsoft Power Platform Engineer

AHEAD

13d

About The Position

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. We are seeking a highly skilled Senior Microsoft Power Platform Engineer to lead the design, development, and governance of enterprise-grade solutions built with Power Apps, Power Automate, Power BI, and Dataverse. This role will partner with business and IT leaders to modernize processes, enhance data-driven decision-making, and scale low-code capabilities across the organization. The ideal candidate brings deep hands-on engineering expertise, strong architectural judgment, and the ability to mentor delivery teams while ensuring solutions meet security, compliance, and performance standards.

Requirements

6+ years of experience in application development, automation, analytics, or related engineering roles, with 4+ years of deep, hands-on Power Platform delivery.
Proven experience leading solution design and implementation for complex, enterprise-scale Power Platform initiatives.
Advanced expertise in Power Apps (Canvas and Model-driven) including component frameworks, complex UX patterns, and performance considerations.
Advanced expertise in Power Automate including complex orchestration, error handling, approvals, integration patterns, and Power Automate Desktop (preferred).
Strong Dataverse experience: data modeling, security architecture, solution layering, and performance tuning.
Strong Power BI skills: semantic modeling, DAX, Power Query, dataflows, and performance optimization.
Experience implementing ALM best practices using Solutions, pipeline automation, and source control (Azure DevOps or GitHub).
Working knowledge of REST APIs, JSON, and authentication (Azure AD, OAuth).
Demonstrated ability to communicate effectively with both technical and non-technical stakeholders.
Ability to lead multiple priorities and deliver high-quality outcomes in a fast-paced environment.
Power Apps (Canvas, Model-driven, Components)
Power Automate (Cloud flows, Approvals, RPA/Power Automate Desktop)
Power BI (Semantic models, DAX, Power Query, Dataflows)
Dataverse (Modeling, Security, Performance)
Microsoft 365 integration (SharePoint, Teams, Outlook)
Azure AD, OAuth, Custom Connectors, REST APIs
ALM and DevOps (Solutions, Pipelines, Azure DevOps/GitHub)
Data integration and SQL fundamentals

Responsibilities

Lead end-to-end solution architecture and delivery across the Microsoft Power Platform, including Power Apps (Canvas and Model-driven), Power Automate (cloud flows and RPA), Power BI, and Dataverse.
Translate complex business needs into scalable, secure, maintainable solution designs aligned to enterprise architecture and roadmap.
Define and implement Power Platform standards, patterns, and reusable components to accelerate delivery and reduce technical debt.
Design robust Dataverse data models, including tables, relationships, security roles, business rules, and performance optimization strategies.
Build and optimize Power BI semantic models, DAX measures, dataflows, and dashboards with attention to performance, usability, and governance.
Integrate solutions with Microsoft 365 and Azure services (e.g., Functions, Logic Apps, API Management) and third-party systems using connectors, APIs, and custom connectors.
Own and evolve environment strategy and ALM practices, including solution packaging, managed/unmanaged strategy, environment variables, pipeline automation, and source control.
Establish and enforce governance, security, and compliance controls such as DLP policies, RBAC, auditing, monitoring, and change management.
Mentor and guide engineers, makers, and analysts; provide technical reviews, coaching, and hands-on enablement.
Partner with security, risk, data, and enterprise architecture teams to ensure solutions comply with organizational standards and regulatory requirements.
Troubleshoot and resolve complex production issues; perform root-cause analysis and implement preventative improvements.
Produce high-quality technical documentation, architecture diagrams, support runbooks, and user enablement materials.