Senior Data Modeler

Integrated Solutions Tawantech; Saudi Arabia; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading tech solutions provider in Saudi Arabia is seeking a Senior Data Modeler to lead the design, implementation, and optimization of enterprise-level data models. In this role, you will ensure data accuracy, security, and accessibility while collaborating with various teams. The ideal candidate will have extensive hands-on experience in data architecture and best practices in data modeling across multiple platforms.

Qualifications

• Hands-on experience in designing and implementing data models.
• Deep understanding of data modeling best practices.
• Experience with various data platforms including NoSQL.

Responsibilities

• Lead the development of conceptual, logical, and physical data models.
• Implement business and IT data requirements across different platforms.
• Optimize data query performance and identify areas for improvement.

Skills

Data architecture

Data modeling

SQL

Data security

Collaboration

Job description

We are seeking the Senior Data Modeler to lead the design, implementation, and optimization of enterprise-level data models across various platforms. This role requires a strategic thinker with hands-on experience in data architecture and a deep understanding of industry best practices in data modeling and data infrastructure.

Key Responsibilities

• Lead the development of conceptual, logical, and physical data models.
• Implement business and IT data requirements across relational, dimensional, and NoSQL platforms.
• Define and enforce data modeling standards, tools, and best practices.
• Oversee the implementation of RDBMS, Operational Data Stores (ODS), data marts, and data lakes.
• Identify and design the architecture, infrastructure, and interfaces to data sources while ensuring security and analytic model support.
• Optimize data query performance through best practices and identify areas for improvement in current data systems.
• Collaborate with cross-functional teams to address project requirements and mitigate delivery risks.
• Support the development of data tools for reporting, visualization, analytics, and machine learning.
• Design and manage data infrastructure to extract, organize, and store data for authorized users.
• Identify and integrate internal and external data sources within the organization.
• Ensure data accuracy, security, and accessibility.