Assistant Manager - Data Architect

Qiddiya Investment Company; Saudi Arabia; On-site; SAR 150,000 - 200,000; Full time

Job summary

A dynamic investment firm in Saudi Arabia is seeking an Assistant Manager - Data Architect to shape data strategy and architecture. The role involves designing solutions for data integration and analytics, collaborating with stakeholders to align data solutions with business objectives. Candidates should have relevant degrees and experience in data warehousing and engineering, especially with cloud platforms like Google Cloud.

Qualifications

• Minimum 4 years of experience as a Business Analyst involved in PMIS implementations.
• 5+ years of design & development experience in enterprise data warehousing.
• Understanding of data security and privacy principles.

Responsibilities

• Design and implement data architecture solutions for cloud environments.
• Develop architecture for data engineering and analytics.
• Ensure alignment of data solutions with business objectives.
• Monitor and improve performance of database design and pipelines.

Skills

Data Lakehouse

Data Warehouse

Data Fabric

Data Mesh

AI/ML

DataOps

MLOps

Performance Tuning

ETL Development

Education

Bachelor’s degree in Business Administration, Project Management, or Information Technology

Master’s Degree in Computer Science or Information Technology

TOGAF or industry-recognized architecture certifications

Data engineering, Architecture related certificates

Cloud platform certifications, particularly Google Cloud Platform

Job description

Overview

Qiddiya Investment Company is on the lookout for a talented Assistant Manager - Data Architect to join our dynamic team. As a Data Architect, you will be instrumental in shaping the data strategy and architecture to support Qiddiya's innovative projects and data-driven decision-making processes. This role involves creating robust data models, overseeing data integration, and ensuring that the data infrastructure is optimized for analytics and reporting. Your expertise will enable us to harness the power of data in delivering exceptional experiences, and you will collaborate with various stakeholders to align data solutions with business objectives.

Responsibilities

• Solid understanding of building blocks of modern data and analytics platform – Data Lakehouse, Data Warehouse, Data Fabric, Data Mesh, Active metadata, AI/ML & etc.
• Design and implement data architecture solutions for deployment on cloud, hybrid and multi-cloud environments, specifically on Google Cloud Platform preferred.
• Develop end‑to‑end architecture for data engineering and analytics to support business analysis and decision making.
• Design, develop high‑performance and scalable data engineering and BI & advanced analytical (AI/ML) solutions.
• Assess current and target architecture, ensuring solutions are aligned with the roadmap.
• Define data architecture, governance, data security/privacy principles and enhance existing principles to meet target architecture.
• Design solution for building DataOps and MLOps platforms.
• Understand and analyze data source systems and design efficient, scalable data pipeline solutions for acquisition and ingestion into data lake and data warehouse.
• Evaluate data‑related technologies and define best practices for standards, tools and methodologies including ETL development, to perform hands‑on data analysis.
• Design performant and scalable architecture.
• Continuously monitor and improve performance of database design, pipelines and analytics components through performance tuning.
• Design and build metadata and data catalogue for the Data and Analytics platform covering technical, operational & business glossary.
• Design and implement unified active metadata layer across Data & Analytics platform repositories.

Education & Qualifications

• A Bachelor’s degree in Business Administration, Project Management, Information Technology, or a relevant discipline.
• At least 4 years of experience as a Business Analyst involved in PMIS implementations or related projects.
• Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent; 5+ years of design & development experience in enterprise data warehousing and analytics projects.
• TOGAF or other industry‑recognized architecture certifications preferred.
• Data engineering, Architecture related certificates.
• Cloud platform certifications, specifically Google Cloud Platform preferred.