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Data Architect/Modeler

10.00 to 12.00 Years   Abu Dhabi, United Arab Emirates   09 Dec, 2023
Job LocationAbu Dhabi, United Arab Emirates
EducationBachelor's degree / higher diploma
SalaryNot Mentioned
IndustryHuman Resources Outsourcing
Functional AreaNot Mentioned

Job Description

Data Architect/ModelerAn experienced Data Architect/Modeler with a proven track record of designing robust enterprise data models for data platform projects. We are seeking a dynamic professional with over 10 years of hands-on experience. The ideal candidate should not only possess the technical expertise to manage project tasks and deliverables but also demonstrate strong collaboration skills and accountability for critical technical and architectural decisions.Responsibilities:

  • Collaborate and Innovate: Work closely with BI and DE teams to collaboratively gather requirements for database design and model, fostering an environment of innovation and shared insights.
  • Design Leadership: Take charge of designing, implementing, and owning the Enterprise Canonical Data Model (CDM), ensuring its alignment with organizational goals and industry best practices.
  • User-Centric Approach: Collaborate with non-technical business users to deeply understand and gather requirements for diverse business use cases, promoting a user-centric data modeling approach.
  • Holistic Understanding: Develop a profound understanding of the data needs of the company, ensuring data solutions are aligned with overarching business objectives.
  • Team Collaboration: Engage proactively with the development team, contributing to the design and construction of the database model, and actively participate in implementing database objects.
  • Data Migration Expertise: Navigate the companys data migration needs by actively working with the development team to formulate and implement effective migration strategies.
  • Metadata Mastery: Collaborate with data engineers to determine metadata querying requirements, leveraging your expertise in shaping efficient data architectures.
  • Guidance and Best Practices: Provide valuable advice to data engineers on database performance tuning and best practices, contributing to the overall improvement of data management processes.
  • Data Quality Management: Play a crucial role in determining and managing data cleansing requirements and Master Data Management (MDM), ensuring the integrity and quality of organizational data.

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