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Technical Architect - Data Platform

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Data Architect

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Head of Engineering, Data Platform

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Senior Data Platform Architect

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Compensation information provided in the description

Software Engineer, Data Platform

Nuro Inc.

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USD 160,360.00 - 240,540.00 per year

Job Details

Skills

TECHNICAL ARCHITECT - DATA PLATFORM

Summary

Technical Architect - Data Platform
Salary – Market- (DOE)
Kennesaw, GA 30144 (Onsite)
Full-Time / Direct-Hire / FTE

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.

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, OneLake, 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, OneLake, 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, 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; 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
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
Partner with client and delivery teams to define data consumption patterns, integration standards, and modernization roadmaps, ensuring successful program delivery and scope governance
Communicate effectively with stakeholders; Use clear verbal, written (emails, documentation), and instant messaging approaches to ensure alignment
Build and maintain productive relationships across cross-functional teams; Provide constructive feedback during requirement workshops and be open to stakeholder input
Strong analytical mindset to evaluate process flows; Ability to troubleshoot requirement gaps, compliance risks, and process inefficiencies
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
Skilled in facilitating workshops, UAT sessions, and requirement walkthroughs; Act as liaison between business and technical teams, ensuring clarity and consensus
What Success Looks Like / Expected Outcome – Successful delivery and adoption of Phases I of the Claims Management Platform, meeting business objectives, quality standards, and project timelines

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10117909
Position Id: 26-19824
Posted 6 days ago

Fitment

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Job Details

Skills

TECHNICAL ARCHITECT - DATA PLATFORM

Summary

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, OneLake, 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, OneLake, 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

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, 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; 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
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
Partner with client and delivery teams to define data consumption patterns, integration standards, and modernization roadmaps, ensuring successful program delivery and scope governance
Communicate effectively with stakeholders; Use clear verbal, written (emails, documentation), and instant messaging approaches to ensure alignment
Build and maintain productive relationships across cross-functional teams; Provide constructive feedback during requirement workshops and be open to stakeholder input
Strong analytical mindset to evaluate process flows; Ability to troubleshoot requirement gaps, compliance risks, and process inefficiencies
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
Skilled in facilitating workshops, UAT sessions, and requirement walkthroughs; Act as liaison between business and technical teams, ensuring clarity and consensus
What Success Looks Like / Expected Outcome – Successful delivery and adoption of Phases I of the Claims Management Platform, meeting business objectives, quality standards, and project timelines

Dice Id: 10117909
Position Id: 26-19824
Posted 6 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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