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    Enterprise Data Architect - Dubai, United Arab Emirates - Sundus

    Sundus
    Sundus Dubai, United Arab Emirates

    1 week ago

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    Description

    Responsibilities

    • Lead the development and execution of the enterprise data strategy:
      • Analyze business needs and data requirements across various departments.
      • Define the target state data architecture, aligning with business objectives and technology roadmap.
      • Develop and implement data governance policies, standards, and procedures.
      • Recommend and implement data management solutions, including data warehousing, data lakes, and data lakes.
    • Design and implement data solutions:
      • Design and develop logical and physical data models, considering scalability, performance, and security.
      • Select and configure appropriate data integration tools and technologies.
      • Ensure data quality, consistency, and accessibility across the organization.
      • Collaborate with data engineers, developers, and business analysts to implement data solutions.
    • Provide technical expertise and guidance:
      • Advise stakeholders on data architecture best practices and emerging technologies.
      • Mentor and guide junior data architects and data engineers.
      • Develop and maintain technical documentation for data architecture and solutions.
    • Stay up-to-date on the latest data management trends and technologies:
      • Continuously research and evaluate new data management tools, platforms, and methodologies.
      • Identify and recommend opportunities to leverage emerging technologies for data-driven initiatives.

    Qualifications

    • 15+ years of experience in enterprise data architecture, data modeling, and data management.
    • Proven track record of successfully designing and implementing complex data solutions.
    • In-depth knowledge of data modeling techniques, data governance principles, and data security best practices.
    • Expertise in various data management technologies, including data warehousing, data lakes, ETL/ELT tools, and data integration platforms.
    • Strong understanding of cloud computing and its implications for data management.
    • Excellent communication, collaboration, and problem-solving skills.
    • Ability to work independently and as part of a cross-functional team.
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