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    Data Architect - Columbus, United States - GoAhead Solutions

    GoAhead Solutions
    GoAhead Solutions Columbus, United States

    1 month ago

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    Description
    Seeking a Data Architect for data-driven decision making across the enterprise by implementing data governance & data analytics solutions.


    Duration:12-mo. contract/through


    Work location: Columbus (hybrid-onsite 2 days a week)


    Must currently reside the Columbus Metro Area


    Duties/exp.

    • Design & implement logical & physical data models to ensure efficient data storage, retrieval & analysis.
    • Map data flows between various systems and applications to optimize data movement & minimize errors.
    • Lead the development & implementation of a master data management strategy to ensure data consistency & accuracy across the organization.
    • Develop & enforce data quality standards & processes to maintain the integrity of data & ensure smooth exchange with the platform.
    • Champion & implement data governance frameworks & policies to ensure data security, privacy & accessibility within and when collaborating with the platform.
    • Collaborate with cross functional teams within and with the platform team to understand business needs & translate them into technical data solutions that enable collaboration.
    • Stay abreast of emerging data management trends & technologies, evaluating their potential application within the organization & for enhancing collaboration with the platform.
    • At least 7 yrs.
    of exp. in data architecture, data modeling, or a similar role.

    • Exp.
    designing and implementing logical & physical data models.

    • In depth knowledge of data warehousing & data management.
    • Expertise in Master Data Management principles & best practices.
    • Strong understanding of data quality methodologies & data cleansing techniques.
    • Exp.
    with data governance frameworks & procedures.

    • Proficiency in SQL and data manipulation tools.

    Education:

    • Bachelor s degree in computer science, Information Technology, Data Science or a related field.

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