Lead Data Architect

Simarn Solutions

  • Memphis, Tennessee
  • 11 days ago

    Highlights

    The role involves leading end-to-end data modernization projects across AS400 and GCP environments, ensuring data quality, scalability, and availability to support analytics and business operations. Seeking a Lead Data Architect with 10+ years of experience in data engineering, cloud migration, and architecture design.

    Numbers & Facts

    LocationMemphis, Tennessee

    Description

    Lead Data Architect

    Type: C2C/W2 | Onsite (Locals Preferred)
    Location: Memphis, TN, USA

    Job Summary:
    Seeking a Lead Data Architect with 10+ years of experience in data engineering, cloud migration, and architecture design. The role involves leading end-to-end data modernization projects across AS400 and GCP environments, ensuring data quality, scalability, and availability to support analytics and business operations.

    Key Responsibilities:

    • Lead design and implementation of enterprise data solutions and cloud migration (AS400 GCP).
    • Develop, optimize, and maintain ETL pipelines, data models, and storage solutions.
    • Collaborate with cross-functional teams to define architecture standards and data governance practices.
    • Integrate and transform data from multiple systems into unified Lakehouse structures.
    • Work with data scientists and analysts to enable analytics, visualization, and ML workloads.
    • Mentor junior engineers and ensure adherence to best practices.
    • Monitor and enhance performance, security, and cost efficiency of data systems.

    Required Skills & Experience:

    • 10-12 years in Data Engineering / Architecture with lead or senior-level experience.
    • Strong in AS400 (IBM iSeries) data extraction and modernization.
    • Hands-on GCP experience BigQuery, Dataflow, Pub/Sub, Composer, Cloud Storage.
    • Proven experience in data migration, modern data platforms, and data modeling.
    • Proficiency in Python, SQL, or Java for data pipeline development.
    • Expertise with BI tools Power BI, Tableau, etc.
    • Familiar with data mesh / lakehouse architectures, integration frameworks, and governance.
    • Strong communication, analytical, and leadership skills.

    Education:

    • Bachelor's in computer science or related field.

    • GCP / Cloud certifications preferred.


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