Role Overview Enterprise Solution Architect
Focus Lead the design and delivery of a high-scale Document Processing & Data Reconciliation platform. You will build a hybrid solution combining Microsoft Power Platform with custom Azure backend services for enterprise financial operations.
Key Responsibilities
Dataverse Architecture Design high-performance relational data models and metadata indexes to handle high-volume transactional lifecycles.
Document Intelligence Strategy Define when to leverage AI Builder (structured templates), Azure Document Intelligence (complex/multi-page layouts), and Azure Content Understanding (unstructured/semantic layouts).
Integration Blueprints Build secure connections between Power Automate (Cloud/Desktop RPA), Azure APIM, Azure Functions (serverless), and cognitive indexing planes.
Human-in-the-Loop (HITL) UX Design exception-handling and verification apps using Model-Driven and Canvas Power Apps.
Security & Governance Establish environment strategies, DLP policies, and row-level security models across Dev/Test/Prod, aligned with Azure AD and M365 identity.
Low-Code ALM Oversee CI/CD pipelines, solution packaging, and automated deployments for all low-code components.
Key Qualifications
Power Platform Mastery PL-600 or Azure AI certified (or equivalent experience) with expert knowledge of Dataverse, Power Automate, Power Apps, and Admin Center.
AI Stack Expertise Proven experience with AI Builder, Azure Document Intelligence, Azure Content Understanding, Azure Functions, and Microsoft Foundry.
Azure Ecosystem Hands-on experience with Azure APIM, Azure Functions, Azure Blob Storage, and Azure AI Search.
Security & Networking Deep understanding of OAuth 2.0, Azure AD/Entra ID, VNet data gateways, and connection references.
Financial Domain Background in automated document processing or data reconciliation in regulated financial environments.
Primary Location: IN-AP-HyderabadSchedule: Full TimeEmployee Status: Individual ContributorJob Type: ExperiencedTravel: NoJob Posting: 27/07/2026, 5:42:01 AM