Senior Specialist Data Base & Data Mart

📣 إعلان

منذ ساعة واحدة تقريباً

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About Ma'aden

Ma'aden, established in 1997, is recognized as one of the fastest-growing mining companies globally and the largest multi-commodity mining and metals company in the Middle East. The company is instrumental in developing the mining industry to become a key pillar of Saudi Arabia’s economy by building a world-class, integrated mining value chain. This full-time role is based in Riyadh.

Role Overview

The Senior Specialist, Data Base & Data Mart is responsible for establishing trusted, scalable, and high-performance data foundations that support analytics, reporting, AI, and business decision-making across Ma'aden. This role ensures that enterprise data assets are structured, governed, and optimized to deliver reliable insights, thereby improving operational and strategic outcomes. The specialist will strengthen Ma'aden’s Data & AI ecosystem by translating complex business and analytical requirements into robust database and data mart solutions, enhancing data accessibility, quality, performance, and governance.

Key Responsibilities

Deliver scalable and high-performing database and data mart solutions for enterprise analytics, reporting, and AI initiatives.
Translate business and analytical requirements into logical and physical data models aligned with enterprise architecture standards.
Establish reusable design patterns to improve consistency, maintainability, and long-term scalability.
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.
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.
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.
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.
Drive adoption of modern database, cloud, automation, and observability practices that enhance value and efficiency.

Required Qualifications and Experience

A minimum of 5 to 10 years of relevant experience in database and data mart management.
Demonstrated technical leadership and engineering excellence in data architecture and database optimization.
Experience with data lifecycle management and ensuring enterprise data platforms are secure and resilient.

Success Factors

Consistent delivery of reliable, accurate, and timely data for analytics and business reporting from enterprise databases and data marts.
Improved data performance, availability, and scalability through proactive optimization and engineering best practices.
Successful embedding of data governance requirements, including lineage, metadata, ownership, and quality controls, across solutions.
Effective resolution of production incidents and performance issues with reduced recurrence.
High stakeholder confidence in the quality, accessibility, and reliability of enterprise data assets.
Enhancement of delivery efficiency, maintainability, and long-term platform sustainability through modern data engineering practices.