Senior Specialist, Data Base & Data Mart

Ma'aden Aluminium Company (MAC); Saudi Arabia; On-site; SAR 250,000 - 450,000; Full time

Job summary

Ma'aden Aluminium Company (MAC) is seeking a Senior Specialist Data Base & Data Mart to design and deliver scalable data foundations for analytics, AI, and reporting. You will ensure governance, security, and high performance across enterprise data platforms.

You will lead cross-functional teams, translate complex requirements into robust models, and drive continuous improvement in data architecture, lifecycle management, and observability to support strategic decisions.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related discipline.
• Master's degree in Data Engineering, Data Architecture, Analytics or related field is advantageous.

Responsibilities

• Deliver scalable database and data mart architectures aligned with enterprise standards.
• Lead data integration through ETL/ELT processes and ensure production readiness.
• Optimize performance, capacity management, and data quality across platforms.
• Embed data governance, lineage, security, and audit controls in solutions.
• Collaborate with engineering, analytics, and governance teams to deliver prioritized data capabilities.
• Mentor team members and promote best practices in data engineering and observability.

Skills

Database Architecture

Data Warehousing

SQL Performance

ETL/ELT Development

Data Modeling

Governance & Security

Cloud Data Platforms

Stakeholder Management

Education

Bachelor's degree in Computer Science or related

Master's degree in Data Engineering or related

Job description

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

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

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

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

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

Skills That Matter Functional Expertise

• Database Architecture amp Administration Dimensional Data Modeling Data Mart amp Data Warehouse Design ETL ELT Development SQL Performance Optimization Data Quality amp Governance Business amp Delivery
• Cloud Data Platforms Data Integration amp Orchestration Performance amp Capacity Management Security Privacy amp Audit Controls Release amp Environment Management Technical Assurance amp Solution Delivery
• People amp Collaboration Stakeholder Management Cross-Functional Collaboration Technical Leadership Problem Solving amp Root Cause Analysis Communication amp Knowledge Sharing Mentoring amp Coaching