Data Architect – OLTP Data Modelling

Veridian Tech

  • Dallas, TX
  • Today
  • Remote

    Highlights

    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. Define the canonical data model, data flows and data ownership across the modernized platform and existing systems.

    Numbers & Facts

    LocationDallas, TX (
    Remote
    )

    Description

    Job Role - Data Architect OLTP Data Modelling

    Location - Remote

    Duration: 12 months + Contract

    Job Description:

    Data Architect OLTP Data Modelling
    Remote


    Experience: 12-16 Years

    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.

    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.

    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.

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