Assistant Manager & Data & AI Architect

Qiddiya | القدية; Riyadh; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading investment firm in Saudi Arabia is looking for an Assistant Manager - Data & AI Architect to spearhead the integration of advanced data management and AI solutions. This role emphasizes designing effective data architecture and ensuring alignment with business objectives. Candidates should possess a Bachelor's or Master's degree and over 4 years of relevant IT experience in data and AI architecture, ideally with certifications in Google Cloud Platform. Exceptional problem-solving skills and expertise in building DataOps and AI/MLOps platforms are essential.

Qualifications

• Minimum of 4 years IT experience in data & AI architecture.
• Experience in enterprise data warehousing and AI/ML projects.
• Design & development expertise is essential.

Responsibilities

• Design and implement data architecture solutions.
• Assess and ensure alignment with target architecture.
• Develop data pipelines for ingestion into Datalake.

Skills

Data Lakehouse

Data Warehouse

AI/ML technologies

Data architecture design

Cloud solutions

Data security principles

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

Requirements

• 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