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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Architect - Microsoft Fabric Data Platform - **Company:** Elista Global, LLC - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, JIRA, Microsoft Azure, Cloud Engineering, Data Architecture, Data Deduplication, Information Engineering, Data Governance, Data Retention, Instant Messaging Technology, Python (Programming Language), Online Analytical Processing, Online Transaction Processing, Performance Tuning, Scrum Methodology, SQL Databases, Unstructured Data, Management of Software Versions, Web Applications, Enterprise Data Management, Data Ingestion, Azure Data Factory, Snowflake, Change Tracking, Microsoft Fabric, Information Technology, Data Management, Data Pipelines - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/a7ffa642-0be2-4d47-b7e7-6244c9774ff7 ## About the Role * Microsoft Fabric expertise including Lakehouse, OneLake, Data Pipelines, Delta Tables, SQL Database/Warehouse, and Medallion Architecture (Bronze/Silver/Gold). * 14+ years of IT experience with 10+ years in Data Architecture, Data Engineering, and Analytics. * 8-10+ years of Azure Data Platform and Cloud Architecture experience, including integration, governance, security, scalability, and performance optimization. * 10+ years of experience designing enterprise data platforms and layered architectures (Raw, Standardized, Curated). * 8+ years of hands-on SQL and Python development experience. * 5+ years of experience designing historical data retention and auditability solutions, including record versioning, change tracking, SCD Type 2, and full history preservation. * 8+ years of experience in Data Quality, Data Governance, Reconciliation, and Intake Control frameworks. * 5+ years of experience in Master Data Management (MDM), record matching, deduplication, entity resolution, and survivorship rules. * 3+ years of experience with Azure AI Document Intelligence (Form Recognizer) or equivalent document extraction solutions. * 5+ years of experience designing HIPAA/PHI-compliant healthcare data platforms, including privacy, retention, residency, and access controls. * Strong client-facing architecture leadership experience, serving as the primary technical authority to drive architecture, design, and implementation decisions. Secondary Skills (Good-to-Have) * Experience working with insurance claims, healthcare payer, or health-plan data platforms. * Experience with Snowflake data platform architecture and implementation. * Microsoft Fabric Analytics Engineer, Azure Solutions Architect, or related Microsoft certifications. Soft Skills & Other Competencies * Communication Skills: Effectively communicate with stakeholders using clear verbal, written (emails, documentation), and instant messaging approaches to ensure alignment. * Interpersonal Skills: Build and maintain productive relationships across cross-functional teams, provide constructive feedback during requirement workshops, and be open to stakeholder input. * Problem-Solving & Analytical Thinking: Strong analytical mindset to evaluate process flows with the ability to troubleshoot requirement gaps, compliance risks, and process inefficiencies. * Task / Work Updates: Prior experience working in Agile/Scrum projects with tools like Jira or Azure DevOps. Provide regular updates, demonstrate proactivity, and show due diligence in carrying out responsibilities. * Stakeholder Management: Skilled in facilitating workshops, UAT sessions, and requirement walkthroughs while acting as a liaison between business and technical teams to ensure clarity and consensus. ## Description Experienced Technical Architect (Hands-on) responsible for defining and building the end-to-end architecture of a specialty insurance claims data platform on Microsoft Fabric. Owns the solution design, technology decisions, and implementation of a production-grade Lakehouse and Medallion Architecture, leading data ingestion, transformation, governance, and analytics while actively contributing to development and delivery. Why This Role Matters The customer processes 50,000+ claims annually across 250+ Third-Party Administrators using a fragmented, manual intake stack. The platform you architect will eliminate that friction, automate eligibility workflows, and become the data foundation on which all future AI/ML, BI, and operational capabilities are built. Phase 1 establishes a production-proven foundation on five priority TPAs - the architecture you get right here sets the pattern for the full TPA network in subsequent phases. What You'll Do * Understand the customer's business needs and translate to a technical architecture design. * Design scalable and configurable data ingestion, transformation, and onboarding frameworks capable of supporting multiple TPA file formats, schema evolution, drift detection, and rapid provider onboarding. * Define and implement historical data management, auditability, and replayability strategies, ensuring complete record versioning and preservation of historical business data. * Design how the system recognises the same claimant across different files, years and spellings, using a set of matching rules with human review for the uncertain cases. * Design how the system will incorporate both OLAP and OLTP processing to meet different use cases. An OLAP process that produces a canonical model for analytics purposes and an OLTP process that feeds the web applications for Eligibility data management, failed file review, and system auditability. * Design and govern data quality, reconciliation, validation, duplicate detection, exception handling, and intake control frameworks to ensure data accuracy and operational reliability. * Design and integrate Azure AI Document Intelligence or equivalent solutions for automated extraction and processing of structured, semi-structured, and unstructured data. * Design and govern the Security and compliance side: who can see what, how sensitive health data is protected, how everything is logged, and how data is retained for seven years. * Design how the platform copes with roughly ten different file layouts per data provider, so that new layouts can be added by configuration rather than new code. * Write down every significant technical decision so the design survives beyond any one person. * Design secure operating models that enable global delivery while maintaining compliance with HIPAA and US PHI handling requirements. * Lead architecture reviews, establish engineering standards, document key design decisions, and provide technical governance across all workstreams. * Serve as the primary technical advisor to client architecture, security, platform, and business leadership teams, driving architecture decisions, managing technical risks, and providing clear recommendations on trade-offs and solution direction. Partner with client and delivery teams to define data consumption patterns, integration standards, and modernization roadmaps, ensuring successful program delivery and scope governance ## Related Videos - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)