Manager - Data Model

To develop and construct data models that enable scalable, efficient, and governed data ecosystems, ensuring alignment between data architecture and business strategy across the organization.

Key Responsibilities:

1. Data Modelling:

   • Design and develop complex data models based on industry standards for business intelligence and AI use cases.
   • Implement and maintain data models/architecture to support real-time and batch processing.
   • Analyze large datasets to identify patterns and relationships to derive actionable insights for data-driven decision-making.
   • Ensure data models are optimized for performance and scalability.
   • Prepare technical and operational documentation of data models for maintainability and effective use within the organization.
   • Define and enforce standards, documentation practices, and policies for data modelling to ensure models are scalable, secure, and aligned with architectural roadmaps.

2. Presentation Layer:

   • Design end-to-end data products up to the presentation layer.
   • Architect semantic layers that reflect business logic for ease of access, usability, and accuracy in reporting tools.
   • Optimize the BI presentation layer for performance and usability for efficient business reporting.
   • Collaborate with business users to ensure the presentation layer meets their needs.

3. Data Integration and Big Data:

   • Integrate data from various sources into data models for business analytics use cases on a big data platform.
   • Ensure data consistency and integrity across different systems.
   • Collaborate with data engineering teams to develop multi-source data using modern Extract, Transform & Load (ETL) pipelines to ensure consistency and data quality.

4. Collaboration and Communication:

   • Partner with business functions and IT teams to gather requirements, define priorities, and deliver end-to-end data solutions.
   • Collaborate with various IT teams for infrastructure and service readiness and continuity.

Skills Required:

• Data Engineering, Business Intelligence
• Data Modelling and Semantic Modelling
• SQL, PSQL, Erwin
• Fabrics, Azure, Snowflake, GCP, Big Data, RDBMS
• Informatica, SSIS, Data Factory
• Spark, Python, Shell/Bash Scripting
• Microsoft Power BI, Cognos

Education:

• Bachelor’s Degree in Computer Science or MIS

Location:
Jiddah, Makkah, Saudi Arabia

Work Conditions:
On-site, Full-time

Language Requirements:
(Not specified in the extracted text)