Senior Data Modeler- Hybrid/Onsite(Riyadh) Saudi Arabia

Full Time

Posted 14 hours ago

As a Senior Data Modeler, you will be responsible for designing, developing, and maintaining scalable and robust data models for both transactional and analytical systems. You will be a key player in our data management team, working closely with data engineers, analysts, and business stakeholders to ensure our data architecture supports and enhances our business objectives. Candidates should have experience of more than 7 years.

Key Responsibilities:

• Design and implement comprehensive data models for transactional databases, data warehouses, and data lakes to support business processes and analytical needs.
• Develop and optimize complex SQL queries to manipulate and analyze large datasets efficiently.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
• Continuously evaluate and improve existing databases and data systems to enhance performance and scalability.
• Lead the integration of big data infrastructure and solution architecture into the current data ecosystem, ensuring seamless data flow and accessibility.
• Champion best practices in data modeling, data quality, and data governance within the organization.
• Guide and mentor junior data modelers and engineers, fostering a culture of excellence and continuous learning.
• Stay abreast of industry trends and advancements in data technology to drive innovation within the company.

Qualifications:

• 7+ years of experience in data modeling for both transactional and analytical systems, with a proven track record of successful project delivery.
• Strong expertise in SQL, with the ability to write efficient, complex queries.
• Excellent communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders.
• Experience working in diverse industries, with an understanding of various business processes and data needs.
• In-depth knowledge of data warehousing principles, methodologies, and best practices.
• Familiarity with big data infrastructure, solution architecture, and the latest technologies in data management.
• Flexibility and adaptability in a fast-paced and dynamic work environment.
• Understanding of CI/CD practices and experience in integrating data solutions into automated pipelines.
• Experience with DBT (data build tool) is highly desirable, though not mandatory.