Technical Data Architect - Cincinnati OH (Hybrid) - Contract - Lorven Technologies Inc.

Job Title : Technical Data Architect
Location  : Cincinnati OH (Hybrid)
Duration  : Long Term

Job Description:

• Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 15+ Years of relevant experience.
• Cloud and Platform: Microsoft Azure (AKS, Function Apps, Logic Apps, Static Web Apps, App Gateway, Key Vault, Service Bus, Event Grid, Event Hub, Express Route), Azure Short Stack patterns, Azure landing zones, and hybrid cloud architecture.
• Data and Analytics: Microsoft Fabric (OneLake, Lakehouse, Data Factory, Real-Time Intelligence), Microsoft Purview (data governance, lineage, sensitivity), CosmosDB, Azure SQL, Azure PostgreSQL, ADLS Gen2, and modern data mesh/domain activation patterns.
• AI and Agentic Platforms: Azure AI Foundry, Azure OpenAI, Document Intelligence, Power Platform Copilot, Copilot Studio, Microsoft 365 Copilot extensibility, agentic AI patterns, RAG architectures, and prompt engineering at enterprise scale.
• Application Development: .NET (C#), Node.js, Python (FastAPI), API design and governance, microservices, event-driven architecture, and container-based deployments.
• DevOps and Developer Experience: GitHub, GitHub Actions, Terraform (including reusable module design), Azure DevOps, Claude Code, Claude Skills, MCP server development, and SDLC automation.
• Observability and Operations: Dynatrace, Azure Monitor, Application Insights, and APM onboarding patterns.
• Power Platform: Power Apps, Power Automate, Power Pages, Dataverse, and Power Platform governance.

Preferred Background

• 10+ years of enterprise architecture or solution architecture experience, ideally within financial services or asset management.
• Demonstrated experience operationalizing Architecture Centers of Excellence or similar cross-organizational architecture forums.
• Strong written communication skills, with a portfolio of reference architectures, technical guidance documents, or published patterns authored in Markdown and Confluence.
• Comfortable engaging across both executive and engineering audiences, adjusting depth and tone appropriately.
• Experience producing concrete deliverables (templates, diagrams, runnable samples, code accelerators, agent-consumable artifacts) rather than abstract architectural commentary.