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Technical Architect - Data Platform
Job in
Kennesaw, Cobb County, Georgia, 30152, USA
Listed on 2026-09-04
Listing for:
Tanisha Systems
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
15 years of IT experience, including 10 years in Data Architecture, Data Engineering, and Analytics 3+ years of hands-on Microsoft Fabric experience (Mandatory) covering Lakehouse, One Lake, Data Pipelines, Delta Tables, SQL Database/Warehouse, and Medallion Architecture 8+ years of Azure Data Platform and Cloud Architecture experience, including integration, governance, security, scalability, and performance optimization 8+ years of hands-on Microsoft Fabric experience including Pipelines, Lakehouse, One Lake, Delta Tables, SQL Database/Warehouse, and Medallion Architecture (Bronze/Silver/Gold) 10+ years of Azure Cloud Architecture experience, including data integration, governance, security, scalability, and performance optimization 8+ years of hands-on SQL and Python development experience;
Data Quality, Data Governance, Reconciliation, and Intake Control frameworks 10+ years of experience designing enterprise data platforms and layered architectures (Raw, Standardized, Curated) 5+ years of experience designing historical data retention and auditability solutions, including record versioning, change tracking, SCD Type 2, and full history preservation 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 and driving 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 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.
Job /
Role Description Architect and design the overall data platform on Microsoft Fabric: how raw files land, how they are standardised, and how the finished data is published for the customer's teams to use 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,…
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