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  • Senior Database Architect

    IBM (Omaha, NE)



    Apply Now

    Introduction

     

    This is an LTS - Long Term Supplemental role up to 36 months

    Your role and responsibilities

    • Works with business partners to define ways to leverage data to develop platforms and solutions to meet mission requirements

    • Leads the architecture, design, build, and development of the business intelligence for high-performance and an adaptable data solution optimal for modern platforms with the ability to integrate technical functionality to deliver a robust scalable data architecture that meets mission objectives and goals

    • Evaluates new data sources and develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery

    • Supports client's Database Management System (DBMS) environments through installation and maintenance of COTS DBMS software packages

    • Provides industry standards of service including preventive maintenance, inspections, and services to maximize the reliability of infrastructure resources

    • Supports full range of data governance (i.e. principles, policies, processes, frameworks, tools, etc.) to manage data at all levels across the lifecycle, making the transition to support AI training and algorithmic models

    • Manages client Enterprise database and data modeling as it matures and modernizes

    • Functions as a technical expert across multiple project assignments

    • May supervise others

    • Produces and/or is responsible for the following deliverable(s)

     

    Required technical and professional expertise

     

    Data architecture, data modeling, data platforms, data lifecycles

    Certifications:

    8140 Cert: 421 - Intermediate;

     

    Cloud+ or SSCP or Security+ or GSEC; OR Applicable degree ABET accredited/CAE designated

     

    Must have existing Top Secret w/ SCI Eligible Clearance.

    Preferred technical and professional experience

    Supports full range of data governance (i.e. principles, policies, processes, frameworks, tools, etc.) to manage data at all levels across the lifecycle, making the transition to support AI training and algorithmic models

     

    IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

     


    Apply Now



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