Senior Specialist Data Base & Data Mart📣 إعلان

في Ma'aden - Saudi Arabian Mining Company | معادن

منذ 9 ساعات تقريباً

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About Ma'aden

Ma'aden, established in 1997 as the Saudi Arabian Mining Company, is recognized as one of the fastest-growing mining companies globally and stands as the largest multi-commodity mining and metals company in the Middle East. The company is actively leading the development of the mining industry to establish it as the third pillar of Saudi Arabia’s economy, building a world-class, integrated mining value chain.

The Role: Senior Specialist, Data Base & Data Mart

Ma'aden is seeking a Senior Specialist, Data Base & Data Mart to join its team in Riyadh. This full-time role is crucial for enabling trusted, scalable, and high-performance data foundations that support analytics, reporting, AI, and business decision-making across the organization. The position ensures enterprise data assets are structured, governed, and optimized to deliver reliable insights that improve operational and strategic outcomes.

This role strengthens Ma'aden’s Data & AI ecosystem by translating complex business and analytical requirements into robust database and data mart solutions, thereby improving data accessibility, quality, performance, and governance through technical leadership and engineering excellence.

Key Responsibilities

Deliver scalable and high-performing database and data mart solutions that support enterprise analytics, reporting, and AI initiatives. Translate business and analytical requirements into logical and physical data models aligned with enterprise architecture standards, establishing reusable design patterns.
Enable reliable delivery of enterprise data through robust ETL/ELT processes, transformation logic, and data integration practices. Ensure solutions are deployed, tested, and transitioned into production effectively and sustainably, improving delivery quality through technical reviews, architecture compliance, and engineering best practices.
Optimize database and data mart performance through tuning, workload analysis, indexing, and capacity management. Strengthen operational resilience through effective monitoring, issue resolution, recovery planning, and preventive improvements, enhancing platform availability and reliability.
Embed data quality, lineage, metadata, ownership, retention, and governance requirements within enterprise data solutions. Ensure data assets remain secure, auditable, and compliant with corporate policies and regulatory requirements, reducing data risk through proactive assessment and remediation.
Partner with engineering, analytics, governance, architecture, cybersecurity, and business teams to deliver prioritized data capabilities. Provide technical guidance that improves delivery decisions, solution quality, and stakeholder confidence, communicating technical recommendations, trade-offs, and constraints clearly.
Drive adoption of modern database, cloud, automation, and observability practices that enhance value and efficiency. Strengthen engineering capability through standards, reusable assets, mentoring, and knowledge sharing, improving delivery consistency and operational maturity.

Desired Outcomes and Impact

Enterprise databases and data marts consistently deliver reliable, accurate, and timely data for analytics and business reporting.
Data performance, availability, and scalability improve through proactive optimization and engineering best practices.
Data governance requirements, including lineage, metadata, ownership, and quality controls, are embedded across solutions.
Production incidents and performance issues are resolved effectively with reduced recurrence.
Stakeholders have confidence in the quality, accessibility, and reliability of enterprise data assets.
Modern data engineering practices improve delivery efficiency, maintainability, and long-term platform sustainability.