Enterprise Data Architect

Sundus
Dubai
AED 200,000 - 400,000
Job 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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