Senior Specialist, Data Base & Data Mart

Ma'aden is hiring a Senior Specialist, Data Base & Data Mart in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions ETL, El and data modeling among its tools and skills.
Level classes it as a senior role.
Ma'aden has 33 other open roles on Level.
This posting went up in the last few days.

AI in this role

Senior Specialist managing enterprise database and data mart architecture to support analytics, reporting, and AI initiatives.

etlel

data-modelingdatabase-architecturedata-warehousingsql

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.

1. Why This Role Matters

The Senior Specialist, Data Base & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & Administration
Dimensional Data Modeling
Data Mart & Data Warehouse Design
ETL/ELT Development
SQL Performance Optimization
Data Quality & Governance

Business & Delivery

Cloud Data Platforms
Data Integration & Orchestration
Performance & Capacity Management
Security, Privacy & Audit Controls
Release & Environment Management
Technical Assurance & Solution Delivery

People & Collaboration

Stakeholder Management
Cross-Functional Collaboration
Technical Leadership
Problem Solving & Root Cause Analysis
Communication & Knowledge Sharing
Mentoring & Coaching

Benefits

1. Career Growth
2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness

How we rate this

Senior Specialist, Data Base & Data Mart at Ma'aden rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Specialist, Data Base & Data Mart is an open job at Ma'aden.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Riyadh, Saudi Arabia.
The job was posted on October 15, 2026.
Seniority: senior.
Applications are handled by Ma'aden. Apply on Ma'aden

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModelingDatabase ArchitectureData WarehousingSQLETLEl

Questions you could be asked

Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where database architecture was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Walk me through how you've used ETL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Modeling, Database Architecture, Data Warehousing, SQL, and ETL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker