Senior Specialist, Data Base & Data Mart

Ma'aden Aluminium Company (MAC); Medina; On-site; SAR 300,000 - 520,000; Full time

Job summary

Ma'aden Aluminium Company (MAC) is seeking a Senior Specialist to design, implement, and govern enterprise data bases and data marts enabling analytics, AI, and informed decision-making across the organization.

You will translate business requirements into scalable data models, drive data integration, and ensure security, quality, and governance across platforms. A strong leadership presence and collaboration with cross-functional teams are essential.

Qualifications

• 7–10 years of progressive experience in database development, data engineering, warehousing or BI.
• Experience designing enterprise-scale data marts and dimensional models.
• Experience optimizing high-volume databases and leading technical delivery.

Responsibilities

• Deliver scalable database and data mart solutions aligned with enterprise architecture standards.
• Enable reliable enterprise data delivery through robust ETL/ELT processes and data integration practices.
• Optimize performance through tuning, indexing, and capacity management; ensure uptime and reliability.
• Embed data quality, lineage, metadata, ownership, retention, and governance requirements.
• Partner with engineering, analytics, governance, architecture, and cybersecurity teams to deliver data capabilities.

Skills

Database Architecture

Admin & Governance

SQL Performance

Data Modeling

ETL/ELT

Cloud Data Platforms

Security & Audit

Leadership

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Master's degree in Data Engineering / Data Architecture / Analytics (advantageous)

Job description

1 Why This Role Matters

The Senior Specialist Data Base amp Data Mart enables trusted scalable and high-performance data foundations that support analytics reporting AI and business decision-making across Maaden The role ensures enterprise data assets are structured governed and optimized to deliver reliable insights that improve operational and strategic outcomes The role strengthens Maaden s Data amp AI ecosystem by translating complex business and analytical requirements into robust database and data mart solutions Through technical leadership and engineering excellence it improves data accessibility quality performance and governance while ensuring enterprise standards are consistently applied By providing expertise in data architecture database optimization and lifecycle management the role enables data-driven transformation initiatives and ensures that enterprise data platforms remain secure resilient and aligned with long-term business objectives

2 What You Will Deliver

Database amp Data Mart Architecture

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 Establish reusable design patterns that improve consistency maintainability and long-term scalability

Data Integration amp Solution Delivery

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 Improve delivery quality through technical reviews architecture compliance and engineering best practices

Performance amp Operational Reliability

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 Improve platform availability and reliability while supporting growth in business and analytical demand

Data Governance amp Security

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 Reduce data risk through proactive assessment and remediation of control gaps and quality issues

Stakeholder Engagement amp Delivery Excellence

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 Communicate technical recommendations trade-offs and constraints in a clear and business-focused manner

Continuous Improvement amp Capability Building

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 Improve delivery consistency and operational maturity through continuous enhancement initiatives

3 What Success Looks Like

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

4 Minimum Qualifications

Bachelor s degree in Computer Science Data Engineering Information Systems or a related discipline Master s degree in Data Engineering Data Architecture Analytics or a related field is advantageous

5 Experience

7 10 years of progressive experience in database development data engineering data warehousing business intelligence or related disciplines Experience designing enterprise-scale data marts dimensional models and database solutions Experience optimizing high-volume databases and resolving complex production and performance issues Experience leading technical delivery across cross-functional stakeholders and technology teams

6 Skills That Matter

Functional Expertise

Database Architecture amp AdministrationDimensional Data ModelingData Mart amp Data Warehouse DesignETL ELT DevelopmentSQL Performance OptimizationData Quality amp Governance

Business amp Delivery

Cloud Data PlatformsData Integration amp OrchestrationPerformance amp Capacity ManagementSecurity Privacy amp Audit ControlsRelease amp Environment ManagementTechnical Assurance amp Solution Delivery

People amp Collaboration

Stakeholder ManagementCross-Functional CollaborationTechnical LeadershipProblem Solving amp Root Cause AnalysisCommunication amp Knowledge SharingMentoring amp Coaching

Bachelor s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.Master s degree in Data Engineering, Data Architecture, Analytics, or a related field is advantageous.7 10 years of progressive experience in database development, data engineering, data warehousing, business intelligence, or related disciplines.Experience designing enterprise-scale data marts, dimensional models, and database solutions.Experience optimizing high-volume databases and resolving complex production and performance issues.Experience leading technical delivery across cross-functional stakeholders and technology teams.Database Architecture & AdministrationDimensional Data ModelingData Mart & Data Warehouse DesignETL/ELT DevelopmentSQL Performance OptimizationData Quality & GovernanceCloud Data PlatformsData Integration & OrchestrationPerformance & Capacity ManagementSecurity, Privacy & Audit ControlsRelease & Environment ManagementTechnical Assurance & Solution DeliveryStakeholder ManagementCross-Functional CollaborationTechnical LeadershipProblem Solving & Root Cause AnalysisCommunication & Knowledge SharingMentoring & Coaching