Lead Data Systems Engineer

GTN Technical Staffing

  • Frisco, TX
  • 28 days ago

    Highlights

    A large enterprise technology organization is hiring a senior hands-on engineer to lead the design and delivery of a new data platform, supporting services, and selected analytical applications. This role is best suited to an engineer who enjoys owning a broad technical surface—from data architecture and production pipelines through the services and applications that make the platform useful.

    Numbers & Facts

    LocationFrisco, TX

    Description


    LEAD DATA SYSTEMS ENGINEER

    Dallas–Fort Worth Metro Area | On-site

    Full-Time, Direct Hire

     

    $160, 000–$180, 000 base;exceptional candidates may be considered above target;+ annual bonus potential

     

    A large enterprise technology organization is hiring a senior hands-on engineer to lead the design and delivery of a new data platform, supporting services, and selected analytical applications. This is not a pure architecture position. You will set technical direction, write production code, guide other engineers, and help move the platform from initial design through reliable operation.

     

    What You’ll Do
    • Define scalable patterns for analytical storage, batch and event-driven ingestion, data processing, and distributed query workloads.
    • Build and optimize Python-based pipelines and services that support high-volume data processing.
    • Design APIs and service interfaces that make governed data available to reporting and internal applications.
    • Contribute to data-intensive web capabilities using a current JavaScript/TypeScript stack.
    • Establish practical standards for data modeling, quality, security, automated testing, deployment, and operational visibility.
    • Diagnose performance and reliability issues across data and application layers.
    • Lead architecture reviews, document key decisions, and mentor engineers.

     

    What You’ll Bring
    • 8+ years of data engineering, data-platform, or closely related software-engineering experience, including senior technical leadership.
    • Strong production experience with Python and SQL.
    • Hands-on experience with lakehouse architecture, open table formats, cloud object storage, partition design, schema evolution, and versioned data management.
    • Experience with both batch and event-driven data processing, plus distributed query or large-scale analytical workloads.
    • Experience designing production APIs, working with relational data stores, and contributing to modern web applications.
    • Experience deploying and operating cloud-based, containerized services with automated delivery and monitoring practices.
    • A record of making sound architecture decisions, improving engineering standards, and mentoring other engineers.
    • U.S. Work authorization.

     

    This role is best suited to an engineer who enjoys owning a broad technical surface—from data architecture and production pipelines through the services and applications that make the platform useful.

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