Technology Architect - Java & Data Engineering, Charlotte, NC (Onsite)

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  • Charlotte, NC
  • 1 day ago

    Highlights

    The person will design large-scale technology solutions, guide engineering teams, and help move legacy applications and data platforms to modern cloud-based architectures . Need someone with a background like: Technology Architect / Solutions Architect / Data Architect / Enterprise Architect with strong Java + Data Engineering + Cloud experience.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    Role: Technology Architect Java & Data Engineering
    Location: Charlotte, NC (Onsite_
    Experience: 13+ Years

    Need someone with a background like:
    Technology Architect / Solutions Architect / Data Architect / Enterprise Architect with strong Java + Data Engineering + Cloud experience.
    The key point is: Don't need a pure Java Architect or a pure Data Architect. We need someone who can bridge Java application architecture and modern data engineering/cloud architecture.
    What are they looking for?
    We need a senior Technology Architect who has strong experience in both:
    • Java / Spring Boot / Microservices
    • Data Engineering / Modern Data Platforms
    The person will design large-scale technology solutions, guide engineering teams, and help move legacy applications and data platforms to modern cloud-based architectures.
    Key Responsibilities
    1. Architecture & Solution Design
    • Design end-to-end architecture for enterprise applications and data platforms.
    • Build solutions that are scalable, secure, reliable, and high-performing.
    • Define architecture standards, best practices, and design patterns.
    • Lead architecture and technical design reviews.
    2. Java & Microservices
    • Strong architecture experience with Java/J2EE, Spring Boot, and Microservices.
    • Design REST APIs, API-first, and event-driven applications.
    • Guide teams on application performance, scalability, security, and maintainability.
    • Review application designs and critical code.
    3. Data Engineering
    • Design modern data platforms for batch, streaming, and real-time analytics.
    • Experience with Data Lakes, Lakehouse, Data Warehouses, or Data Mesh.
    • Design data ingestion, transformation, governance, quality, and lineage processes.
    • Guide teams using technologies such as:
      • Apache Spark
      • Databricks
      • Kafka
      • Airflow
    4. Cloud & DevOps
    • Strong experience with at least one major cloud: AWS, Azure, or GCP.
    • Design and support:
      • CI/CD
      • DevSecOps
      • Infrastructure as Code
      • Monitoring & Observability
    • Experience modernizing or migrating legacy applications/data platforms to the cloud.
    5. Technical Leadership
    • Mentor architects, technical leads, and engineering teams.
    • Work with business and technical stakeholders to turn requirements into solutions.
    • Lead technical discussions, architecture workshops, and client meetings.
    • Lead POCs and technology evaluations.

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