Data Architecture Jobs in Riyadh

• 0 - 5 Years
• Riyadh - Saudi Arabia

The role involves designing and optimizing ETL pipelines, maintaining data warehouses, and ensuring data quality using Python, SQL, and cloud platforms.

• 5 - 7 Years
• Riyadh - Saudi Arabia

Collaborate with clients to design and implement data and AI solutions, leveraging cloud technologies and advanced analytics to drive digital transformation.

• 3 - 8 Years
• Riyadh - Saudi Arabia

Design and optimize data virtualization solutions using Denodo, integrating various data sources while ensuring data governance and performance tuning.

• 5 - 7 Years
• Riyadh - Saudi Arabia

Design, customize, and maintain Odoo ERP modules, ensuring regulatory compliance and database integrity while integrating with external systems and providing user training.

• 10 - 12 Years
• Riyadh - Saudi Arabia

Design and implement enterprise risk management and sustainability frameworks, ensuring regulatory compliance and effective ESG strategy across operations.

• 13 - 18 Years
• Riyadh - Saudi Arabia

Lead public sector transformation initiatives by architecting AI strategies, managing bids, and delivering data maturity frameworks with strong stakeholder engagement.

• 10 - 15 Years
• Riyadh - Saudi Arabia

Lead the architecture of on-prem Data Lakehouse using Cloudera, focusing on Medallion and Lambda architectures, data governance, and security frameworks.

• 7 - 12 Years
• Riyadh - Saudi Arabia

Design and manage data architecture, develop ETL pipelines, and create Power BI dashboards while ensuring data accuracy and integration success.

• 4 - 10 Years
• Riyadh - Saudi Arabia

Design and maintain scalable ETL/ELT pipelines, optimize data workflows, and ensure data quality using Python, SQL, and Apache technologies.

• 1 - 6 Years
• Riyadh - Saudi Arabia

Design and build scalable data pipelines and infrastructure for artificial intelligence models and analytics platforms as a Senior Data Engineer.

• 3 - 5 Years
• Riyadh - Saudi Arabia

Seeking a Data Engineer to develop scalable data processing systems, integrate tools, and utilize technologies like Python, SQL, and Google Cloud Platform.