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Data Architect with OLTP Data Modelling Exp.

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Onsite

Data Architect with OLTP Data Modelling Exp.

EAPPS TECH LLC dba Magicforce

Data Architect with OLTP Data Modelling Exp.

Skills

Data EngineeringKafkaAIAWSComplianceAzure

2 months ago

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Important information


Salary:

$145,600 – $166,400 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

10 August 2026

What they need


Needed for a large-scale platform modernization program, migrating a legacy monolithic application into a cloud-native, API-first and event-driven architecture, to be implemented in an AI-first operating model using Spec-Driven Development, where specifications govern design, build and test, and AI coding agents are used across the SDLC under human review.

Skills: Data Architecture, OLTP Data Modelling, Conceptual/Logical/Physical Data Models, Kafka/Event-Driven Architecture, Azure/AWS Cloud Data Platforms, Data Migration, Legacy Modernization, Healthcare Data Standards, PHI/PII Compliance

Experience & Expertise

  • 12-16 years in data engineering or architecture, with 4+ years in a data architect role.
  • Strong data modelling expertise — conceptual, logical and physical — across relational and event-driven systems.
  • Hands-on experience with Kafka or comparable streaming platforms and data integration patterns.
  • Cloud data architecture on Azure or AWS; familiarity with modern data platform tooling.
  • Experience with data migration and legacy data estate rationalisation.
  • Awareness of healthcare data standards and PHI/PII handling obligations.

Responsibilities & Expectations

  • Define the canonical data model, data flows and data ownership across the modernized platform and existing systems.
  • Establish data standards, lineage, quality controls and compliance alignment for sensitive healthcare data.
  • Design the data integration approach across services and partner platforms.
  • Assess data migration considerations and provide indicative approach and effort for the build phase.
  • Define the data components of the infrastructure and deployment model, including performance and scalability requirements.
  • Support architecture review board submissions and act as data authority for the programme.

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