Chief Data Infrastructure Architect

4 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Electronic Solutions Full time
Job Description

Overview:

Electronic Solutions is seeking a highly skilled Data Modelling and Strategy Lead to join our team. In this role, you will be responsible for leading the development of conceptual, logical, and physical data models.

Responsibilities:

  1. Data Modelling: Develop conceptual, logical, and physical data models to support business requirements.
  2. Data Architecture: 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. Data Infrastructure: Oversee the implementation of RDBMS, operational data store (ODS), data marts, and data lakes.
  5. Security and Analytics: Identify architecture, infrastructure, and interfaces to data sources, ensuring security and analytic model support.
  6. Query Performance: Optimize data query performance through best practices, identifying areas for improvement in current data systems.
  7. Collaboration: Collaborate with teams, addressing project requirements and reducing delivery risks.
  8. Data Tools: Support the development of data tools for reporting, visualization, analytics, and machine learning.
  9. Data Infrastructure Management: Design and manage data infrastructure to extract, organize, and store data for authorized users to access.
  10. Data Sources: Identify internal and external data sources within the organization, ensuring the accuracy, security, and accessibility of the data.

Desired Candidate Profile:

  • 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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