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Lead Specialist, Engineering and Virtualization II at Ma'aden
Riyadh, Riyadh Region, Saudi Arabia -
Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Virtualization, Semantic Layers, Query Optimization, Caching Strategies, Access Governance, Auditing, Security Controls, Data Service Design, Operational Support, Performance Tuning, Stakeholder Management, Data Integration

Industry

mining

Description
Minimum Qualifications: * Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. Minimum Experience: * 7–10 years of experience in data engineering/integration with hands-on experience delivering virtualization or semantic layer solutions. * Experience supporting production data access services with performance, security, and reliability requirements. Ma’aden High-Performance Competencies: * Ownership & Accountability – Takes end-to-end ownership for delivery and outcomes. * Collaboration – Works effectively across engineering, governance, and business teams. * Execution Excellence – Delivers robust solutions with strong quality and reliability. * Continuous Improvement – Improves performance, cost, and operability over time. * Impact & Influence – Guides teams and vendors through technical leadership. Skills: * Data virtualization concepts (abstraction, federation, semantic layers), query optimization, and caching strategies. * Strong understanding of access governance, auditing, and security controls for data access services. * Ability to design consumable data services aligned to enterprise definitions and models. * Operational support, troubleshooting, and performance tuning for production data services. * Stakeholder management with BI teams, application teams, and governance stakeholders.
Responsibilities
Lead the delivery and support of data virtualization and semantic layer solutions to ensure high-performance data access. Collaborate with engineering, governance, and business teams to design consumable data services aligned with enterprise models.