Power Platform Architect

Insight

Edinburgh, UK

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Compensation

£74,535.0

Working hours

Regular working hours

Job source

www.adzuna.co.uk

Tech stack

Microsoft Windows Artificial Intelligence Application Integration Architecture Application Lifecycle Management Microsoft Azure Cloud Computing Cloud Storage Content Analysis Data Hub Relational Databases Network Security Microsoft Software

+12 more

OAuth Azure Active Directory Search Technologies Systems Architecture Enterprise Software Applications Data Classification Microsoft Power Automate Power Platform Integration Low-code Api Management Serverless Computing Powerapps

Job description

Architect scalable Microsoft Power Platform solutions integrated with Azure and AI for document processing and data reconciliation in financial operations.

Core Responsibilities:
Design enterprise-level relational data models and metadata indexes in Microsoft Dataverse.
Develop cross-platform document intelligence strategies leveraging AI Builder, Azure Document Intelligence, and Azure Content Understanding.
Create integration blueprints connecting Power Automate, Azure API Management, Azure Functions, and cognitive services.
Design Human-in-the-Loop (HITL) exception handling and verification experiences using Power Apps.
Implement and enforce Power Platform environment strategies, DLP policies, and robust security/access models across different environments (Dev, Test, Prod).
Collaborate with Cloud and Security Engineers to integrate Microsoft 365 identity, Azure AD, and Dataverse security models.
Oversee low-code Application Lifecycle Management (ALM), ensuring clean automation packaging and deployment via CI/CD pipelines.

Requirements

Power Platform: PL-600/Azure AI certified or equivalent; expert in Dataverse, Power Automate, Power Apps, and platform administration.

AI Stack: Experience architecting document extraction with AI Builder, Azure Document Intelligence, Azure Content Understanding, Azure Functions, and Microsoft Foundry.
Azure Ecosystem: Proficient in Azure API Management, Azure Functions, Azure Blob Storage, and Azure AI Search.
Security & Networking: Knowledgeable in Azure AD, OAuth 2.0, VNet data gateways, and secure connection references.
Financial Domain: Preferably experienced in automated document extraction, data classification, or transactional reconciliation within regulated financial services.
Experience Required:
15+ years in enterprise software delivery, systems architecture, and solution design.
6+ years dedicated to architecting complex Power Platform solutions, with hands-on Azure & AI integration.