Solutions Architect

WorkNovas LLC

  • Tampa, FL
  • 1 day ago
  • Remote

    Highlights

    Partner with business and technical stakeholders to define data strategies and architectural roadmaps. Create architecture patterns that support automation, AI initiatives, and future-state data platforms.

    Numbers & Facts

    LocationTampa, FL (
    Remote
    )

    Description

    Solutions Architect

    Remote

    Must-Have Technical Background

    Core Requirements

    • Deep experience with:
      • SQL
      • Snowflake
      • Traditional Data Warehousing
      • Data Modeling
      • Enterprise Data Architecture
    • Strong architectural mindset and ability to:
      • Learn new technologies quickly
      • Evaluate unfamiliar tools and platforms
      • Design scalable solutions regardless of specific tech stack
    • Must be capable of creating architecture from the ground up rather than simply maintaining existing environments.
    • Strong financial background in a clinical setting would be ideal
    • Looking for someone very senior:
      • Someone who has been solving complex architecture problems for many years
    • This is not an intermediate-level role-wanting someone very senior. They won't only be doing data architeture, so a strong dev background would be nice
    • Design and architect enterprise-scale data solutions from the ground up.
    • Lead data modeling, data warehousing, and data architecture initiatives.
    • Develop scalable frameworks for data quality, governance, auditing, and validation.
    • Partner with business and technical stakeholders to define data strategies and architectural roadmaps.
    • Evaluate emerging technologies and recommend solutions that align with organizational goals.
    • Create architecture patterns that support automation, AI initiatives, and future-state data platforms.
    • Provide leadership and technical guidance around data integration, analytics, and reporting solutions.
    • Serve as a trusted advisor during solution design and architectural decision-making.

    Special Project Focus

    A key initiative for this role involves designing and implementing a metadata-driven automated audit framework capable of:

    • Rapidly validating large datasets
    • Comparing information against defined sources of truth
    • Automating data quality and audit processes
    • Supporting AI-driven and highly automated data environments
    • Accelerating the organization's ability to assess data accuracy and integrity

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