TELECOMMUTE Principal data architect

LINCOLN SOFT TECH LLC
Lincoln, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Lincoln, United States of America

Tech stack

Artificial Intelligence
Application Integration Architecture
Computing Platforms
JIRA
Azure
Batch Files
Information Engineering
Data Infrastructure
Data Masking
Instant Messaging Technology
Python
Role-Based Access Control
Azure
SQL Databases
Microsoft Fabric
Data Lake
Production Code

Job description

  • Define the AI-assisted schema registry - versioned alias handling for ~10 TPA format variants each, with drift detection and forward-compatible schema evolution

Data Platform & AI Integration

  • Govern the Fabric Data Factory pipeline architecture for batch file intake (xlsx, csv, txt) with SLA monitoring, control totals, duplicate detection, and quarantine/reject workflows

  • Architect the Azure Document Intelligence integration for eligibility PDF and screenshot extraction, including human-in-the-loop validation workflow design

Governance, Security & Compliance

  • Design PHI access controls and data masking patterns enabling offshore development while meeting US-only PHI requirements

  • Establish the four-role RBAC model (Admin, IT Support, Regular User, Read-Only) across the eligibility portal and all operational UIs

Technical Leadership

  • Lead sprint zero discovery - backlog definition, TPA file layout review, RACI, tooling access, and delivery cadence establishment

  • Conduct architecture decision reviews and set engineering standards across all workstreams and the full offshore team

Client Engagement

  • Serve as the primary technical voice in stakeholder meetings with client technology and business leadership - translating platform decisions into clear, decision-ready recommendations

  • Partner with the client''s internal team to define Gold layer consumption spec and integration handoff criteria for the downstream claim creation platform

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Requirements

12-16 years

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

Primary (Must have skills)* - To be Screened by TA Team

  • 12+ years in data engineering and analytics; 3+ years as a Technical or Solution Architect on enterprise-scale, multi-workstream data programs

  • Hands-on expertise in Microsoft Fabric - OneLake, Fabric Data Factory, Lakehouses, Delta Lake, medallion architecture, and point-in-time reconstruction patterns

  • Proven experience designing data quality and intake control frameworks - schema validation, SLA checks, reconciliation, exception triage queues, and quarantine/reject workflows

  • Deep experience designing canonical data models for complex transactional domains - insurance claims, healthcare, or financial services strongly preferred

  • Hands-on experience with Azure AI Services - Azure Document Intelligence (Form Recognizer) or equivalent for unstructured/semi-structured document extraction integrated into pipelines

  • Strong Python and SQL - you review and write production-grade code, not just diagrams

  • Demonstrated experience leading customer-facing technical engagements with full delivery accountability - you own the outcome, not just the architecture review

Why This Role Matters - New addition (To be filled by Practice /DO)

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., Communication Skills

  • Communicate effectively with stakeholders.

  • Use 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.

  • 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

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