Data Modelling and Strategy Lead

3 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Electronic Solutions Full time
About the Role

We are looking for a highly skilled Chief Data Infrastructure Architect to join our team. In this role, you will be responsible for designing and managing data infrastructure to support business requirements.

Key Responsibilities:

  1. Data Infrastructure Design: Design and implement data infrastructure to meet business requirements.
  2. Architecture Implementation: Implement business and IT data requirements across relational, dimensional, and NoSQL platforms.
  3. Standards and Best Practices: Define and enforce data modelling and design standards, tools, and best practices.
  4. Collaboration: Collaborate with teams, addressing project requirements and reducing delivery risks.
  5. Data Tools: Support the development of data tools for reporting, visualization, analytics, and machine learning.
  6. Data Security: Ensure the security and accessibility of data stored in data infrastructure.
  7. Data Query Performance: Optimize data query performance through best practices, identifying areas for improvement in current data systems.
  8. Data Sources: Identify internal and external data sources within the organization, ensuring the accuracy, security, and accessibility of the data.

Requirements:

  • Data Modelling Expertise: Strong expertise in conceptual, logical, and physical data modelling, in addition to data warehouse and data lake design approaches with hands-on experience of Inmon & Kimball methodologies.
  • Technology Skills: Hands-on experience with RDBMS, NoSQL databases, and Cloudera CDP technologies.
  • Leadership Experience: Proven experience in defining and implementing data architecture strategies.
  • Communication Skills: Excellent communication skills for technical and non-technical stakeholders.
  • Performance Tuning: Experience in performance tuning for data queries.
  • Data Modelling Standards: Understanding of data modelling and design standards, tools, and best practices.
  • Analytical Mindset: Analytical mind-set and problem-solving skills for proactive project support.
  • Modelling Tools: Experience with modelling tools like ERWIN.


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