Solution Architect Microsoft Fabric (OneLake, Lakehouse)
Solution Architect Microsoft Fabric (OneLake, Lakehouse)
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1 Vacancy
Job Description
Two Solution Architect Requirements - Montvale NJ or Edison NJ (5 days onsite) Client - KPMG
Job 1: Digital Gateway
Job Title: Solution Architect
Location: MontvaleNJ or EdisonNJ (5 days onsite)
Duration: 6 months plus contract or CTH
Client : KPMG
Interview : Video call
Replace SharePoint with a role-based web app; use Azure Cognitive Services for AI features
Responsibilities:
- Solution Architecture & Design: Design a modular scalable and cloud-native architecture using Azure services Replace legacy SharePoint functionality with custom-built role-based web app features Ensure a unified experience for audit teams clients and knowledge users
- Azure Platform Expertise: Deep knowledge of Azure App Services Azure Functions Azure AD (for SSO) Azure Front Door and Azure API Management Use of Azure Cognitive Services and OpenAI (or Hugging Face) for AI notifications and intelligent content summarization Integration with Azure Event Grid or Service Bus for real-time event handling
- Data & Content Management: Architect solutions for structured (PostgreSQL/Cosmos DB) and unstructured content (e.g. file storage in Azure Blob metadata search via Azure Cognitive Search) Design strategy to migrate content and metadata from legacy SharePoint to new formats
- Integration & Interoperability: Enable integration with internal systems (audit tools client portals knowledge bases) and external data feeds Define APIs and connectors to support secure data exchange
- Security & Governance: Implement enterprise-grade identity and access management (Azure AD RBAC conditional access) Ensure data protection auditing and compliance standards are met (especially for sensitive audit/client data)
- Scalability & Performance: Design for high availability and elastic scaling Use CDN caching and event-driven architecture to support heavy concurrent usage
- User Experience & Collaboration: Collaborate with UX/UI designers to ensure a modern intuitive interface Guide personalization content targeting and notification strategies based on user roles
- DevOps & Delivery: Define DevSecOps practices using Azure DevOps or GitHub Actions Lead CI/CD setup IaC (Bicep/Terraform) environment management and monitoring
- Legacy Modernization: Plan phased decommissioning of SharePoint features Define data migration content reshaping and user retraining strategies
Job 2: Fabric No-SQL
Job Title: Solution Architect
Location: MontvaleNJ or EdisonNJ (5 days onsite)
Duration: 6 months plus contract or CTH
Client : KPMG
Interview : Video call
Leverage Microsoft Fabric (OneLake Lakehouse); build POCs; unify data access layers
Responsibilities:
Solution Architect
Data Architecture & Strategy:
- Define enterprise-wide data architecture principles using Microsoft Fabric components (Data Lake OneLake Lakehouse Warehouse Real-Time Analytics). Align architecture with unified access integration and governance goals.
Microsoft Fabric Expertise:
- Hands-on understanding of Microsoft Fabric capabilities including Dataflows Pipelines Lakehouse Warehouse Notebooks and integration with Power BI Synapse and Azure Data Factory.
Data Integration & App Connectivity:
- Design data flows and connectors across operational systems and business applications. Enable seamless integration between transactional apps analytics layers and data science environments.
Proof-of-Concept Development:
- Build quick functional POCs using Fabric components to validate architecture decisions performance and usability before full-scale implementation.
Unified Data Layer Design:
- Architect a centralized but flexible data layer for consistent access and governance. Consider OneLake as the single data foundation across business units.
Data Governance & Security:
- Define data ownership metadata management lineage tracking and access control using Microsoft Purview and built-in Fabric security models.
Scalability & Performance:
- Ensure architecture is designed for large-scale real-time analytics and app integrations. Plan for concurrent data access transformation and reporting across systems.
AI & Data Mining Enablement:
- Incorporate AI-driven analytics using Power BI AI visuals notebooks (Python) and integration with Azure Machine Learning for predictive insights.
Stakeholder & Business Alignment:
- Engage with enterprise data owners analytics leaders and app teams to ensure the solution meets business needs is future-ready and simplifies the data landscape.
Delivery & Documentation:
- Define architecture documentation evaluation criteria reference models and rollout roadmap for implementation and adoption.
Employment Type
Full-time
