Assistant Manager - Data Architect

Qiddiya Investment Company; Riyad Al Khabra; On-site; SAR 299,000 - 450,000; Full time

Job summary

A leading investment firm located in Al-Qassim Province is seeking an Assistant Manager - Data Architect. In this role, you will shape the data strategy and architecture, focusing on cloud and analytics solutions. The ideal candidate will have over 5 years of experience in data warehousing and a strong understanding of modern data platforms. Certification in TOGAF or related fields is preferred. This is an exciting opportunity to contribute to innovative projects and enhance data-driven decision-making processes.

Qualifications

• 5+ years in design & development experience in enterprise data warehousing and analytics projects.
• TOGAF or other industry recognized architecture certifications preferred.
• Data engineering, Architecture related certificates.

Responsibilities

• Design and implement data architecture solutions for deployment on cloud and multi-cloud environments.
• Continuously monitor and improve performance of database design, pipelines, and analytics components.
• Develop end-to-end architecture for data engineering and analytics.

Skills

Data modeling processes

Data architecture solutions

Cloud platform experience

Data pipeline solutions

Performance tuning

Data governance principles

Education

Bachelors or Master’s Degree in Computer Science or equivalent

Tools

Google Cloud Platform

ETL tools

Job description

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.
• 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 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.
• 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.
• Good understanding of Data modelling processes, techniques – conceptual, logical, physical

Requirements

• Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent
• 5+ years in 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.