Senior Data Platform Architect: Databases & Data Marts

Ma'aden Aluminium Company (MAC)

Medina

Sur place

SAR 300 000 - 520 000

Plein temps

Il y a 2 jours
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Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Database Architecture
Admin & Governance
SQL Performance
Data Modeling
ETL/ELT
Cloud Data Platforms
Security & Audit
Leadership

Formation

Bachelor's degree in Computer Science / Data Engineering / Information Systems
Master's degree in Data Engineering / Data Architecture / Analytics (advantageous)

Description du poste

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.

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