Assistant Manager & Data & AI Architect

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

Job summary

A leading investment firm in Saudi Arabia is seeking an Assistant Manager - Data & AI Architect to integrate advanced data management and AI solutions for innovative projects. In this role, you'll design and implement data architectures, collaborate with teams, and enhance data-driven decision-making across the organization. Ideal candidates should have a degree in Computer Science and relevant experience in data architecture and AI applications. This position offers a dynamic work environment, focusing on cutting-edge technologies in data management.

Qualifications

• Experience in data & AI architecture with 4+ years in IT.
• Hands-on expertise in AI architecture and solution development.
• Design and development experience in enterprise data warehousing.

Responsibilities

• Design and implement data architecture solutions for cloud environments.
• Develop end-to-end architecture supporting business analysis.
• Evaluate data technologies and define best practices.

Skills

Data strategy

AI applications

Data architecture design

Cloud platforms (GCP)

Data engineering

ETL development

Education

Bachelor's or Master’s Degree in Computer Science

Tools

Google Cloud Platform

Job description

Qiddiya Investment Company is excited to announce a new opportunity for an Assistant Manager - Data & AI Architect. In this pivotal role, you will be at the forefront of integrating advanced data management and artificial intelligence solutions to support our innovative projects and initiatives. You will work closely with cross‑functional teams to design and implement cutting‑edge data architectures that leverage AI technologies, driving data‑driven decision‑making and enhancing user experiences.

Your expertise in data strategy, architecture design, and AI applications will be instrumental in harnessing the power of data to unlock insights and create enhanced value across our organization.

Responsibilities

• Solid understanding of building blocks of modern data, AI 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.
• Development of end‑to‑end architecture for data engineering and analytics to support business analysis and decision making.
• Designing, developing high performance and scalable data engineering and BI & advanced analytical (AI/ML) solutions.
• Assess current and target architecture, and ensure solutions provided are in alignment with the roadmap.
• Define data architecture, governance, data security/privacy principles and enhance existing principles to meet target architecture.
• Solution design for building DataOps and AI/MLOps platforms.
• Understand and analyze data source systems and design efficient and scalable data pipeline solutions for acquisition and ingestion into Datalake and Data warehouse.
• Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis.
• Hands‑on expertise in AI architecture, solution and development for AI RAG and Agent applications.
• Expertise on AI platform and tools – LLMs models, AI agent development platform and etc.
• Solution design for 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 Data and Analytics platform covering technical, operational & business glossary.
• Design and implement unified active metadata layer across Data & Analytics platform repositories.

Qualifications

• Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent.
• Minimum of 4 years IT experience in data & AI architecture, solution, strategy, modeling and tools.
• Design & development experience in enterprise data warehousing and AI/ML & analytics projects.
• TOGAF or other industry recognized architecture certifications preferred.
• Cloud platform certifications, specifically Google Cloud Platform preferred.