Data Architect

GovServicesHub

  • San Jose, California
  • 30+ days ago

    Highlights

    Diagramming & Documentation: Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing. This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation.

    Numbers & Facts

    LocationSan Jose, California
    Websitewww.govserviceshub.com

    Description

    Job Title: Data Architect

    Location: San Jose, CA (Onsite)


    Total Experience: 10+ years
    Exp in Data Architect: 10+ years
    Exp in Data Structures: 10+ years

    We need to look for a Data Architect with 4 years degree in computer science

     

    The Data Architect will be a key contributor to designing, evolving, and optimizing our company's cloud-based data architecture. This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation. Must work EST hours. Core Responsibilities
    • Cloud Data Architecture Design & Strategy: Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
    • Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
    • Develop comprehensive cloud data strategies in alignment with business goals.

    • Diagramming & Documentation: Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
    • Maintain detailed documentation of data architecture, design decisions, and processes.

    • Hands-on Implementation & Optimization: Actively contribute to the hands-on implementation of cloud data solutions.
    • Proactively identify and implement performance optimization strategies for cloud data systems.



    Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.


    Required Qualifications
    • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
    • Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)
    • Proven track record of successfully designing and implementing cloud-based data solutions in Azure
    • Deep understanding of data modeling concepts and techniques.
    • Strong proficiency with database systems (relational and non-relational).
    • Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software​

    Requirements

    Preferred Qualifications
    • Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
    • Expertise in big data technologies (e.g., Hadoop, Spark).
    • Strong understanding of data security and governance principles.
    • Experience in scripting languages (Python, SQL).

    Additional Skills
    • Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
    • Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
    • Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.



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