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Technical Architect Microsoft Fabric Data Platform

NextGen IT Inc.Atlanta, GA🇺🇸United StatesPosted 1 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
Yesterday
SQLSSOScrumSnowflakeAgileAzureComplianceDue DiligenceGitHIPAAJiraPythonReconciliationStakeholder Management

Job Description

Technical Architect Microsoft Fabric Data Platform

Experience: 12 20 years

Location: Georgia Atlanta (Relocation is Ok) FTE only

Tagline: Platform Architecture | Microsoft Fabric | AI-Accelerated Delivery | Insurance Claims Modernization

Need small writeup in submission email on Primary skills and it should reflect with exact no. of experience on resume too -Microsoft Fabric (OneLake, Data Factory, Lakehouses, Delta Lake), Azure Document Intelligence, Microsoft Purview, Okta SSO, SQL, WinAIDM (Ingestion / Quality / Transformation / Reporter Agents), Azure AI Services, Azure DevOps, Git

Here is the clean, unformatted text from the Job Description, structured with your requested skill prioritization first:

Primary Skills (Must-Have)

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.

Role Summary

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.

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