Lead Specialist, Data Product II

Maaden Saudi Arabian Mining Company; Riyadh; On-site; SAR 350,000 - 550,000; Full time

Job summary

Maaden is seeking a Lead Specialist, Modeling & Architecture II to design and deliver high-quality data models and architecture artifacts that enable governed, performant data products across multiple projects. You will partner with engineering, governance, and business stakeholders to translate requirements into scalable models.

You will lead with advanced technical guidance, define transformations, and support model-driven delivery while ensuring traceability and metadata quality for analytics

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related discipline.
• 8–12 years of experience in data modeling and solution architecture within enterprise analytics environments.
• Hands‑on experience delivering models for modern cloud data platforms and supporting production deployments.

Responsibilities

• Design and maintain logical and physical data models for analytics, integration, and reporting use cases, aligned with enterprise standards and naming conventions.
• Translate business requirements into consistent entities, attributes, and relationships; ensure definitions align with the business glossary and stewardship ownership.
• Develop dimensional models and curated layer schemas that support performant analytics and standardized KPIs.
• Define mappings and transformation rules from source systems to curated layers; ensure traceability, lineage, and reconciliation requirements are met.
• Participate in solution design reviews; identify modeling risks and recommend mitigation (data quality, master/reference data, performance, historization).
• Support data engineers with model-driven implementation guidance; validate that physical implementations align with approved designs.
• Contribute reusable templates, reference models, and design patterns to accelerate delivery and standardize outputs.
• Collaborate with governance teams to ensure metadata completeness, catalog registration, and data quality checks are embedded in delivery.

Skills

Data modeling (logical/physical)

Data quality & governance

Cross-functional collaboration

SQL

Cloud data platforms

Education

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

Tools

Modeling tools (ER/Dim)

Cloud data platforms (warehouses)

Job description

About Maaden

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.

Job purpose

The Lead Specialist, Modeling & Architecture II designs and delivers high-quality solution-level data models and architecture artifacts to enable consistent, governed, and performant data products. The role applies enterprise standards to delivery initiatives and partners with engineering, governance, and business stakeholders to translate requirements into implementable models. This role provides advanced technical leadership within delivery squads, ensuring modeling quality, integration readiness, and conformance to enterprise patterns while supporting multiple projects and domains.

Key Accountabilities

1. Design and maintain logical and physical data models for analytics, integration, and reporting use cases, aligned with enterprise standards and naming conventions.
2. Translate business requirements into consistent entities, attributes, and relationships; ensure definitions align with the business glossary and stewardship ownership.
3. Develop dimensional models and curated layer schemas that support performant analytics and standardized KPIs.
4. Define mappings and transformation rules from source systems to curated layers; ensure traceability, lineage, and reconciliation requirements are met.
5. Participate in solution design reviews; identify modeling risks and recommend mitigation (data quality, master/reference data, performance, historization).
6. Support data engineers with model-driven implementation guidance; validate that physical implementations align with approved designs.
7. Contribute reusable templates, reference models, and design patterns to accelerate delivery and standardize outputs.
8. Collaborate with governance teams to ensure metadata completeness, catalog registration, and data quality checks are embedded in delivery.

Minimum Qualification, Experience and Competencies

Minimum Qualification

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related discipline.

Minimum Experience

• 8–12 years of experience in data modeling and solution architecture within enterprise analytics environments.
• Hands‑on experience delivering models for modern cloud data platforms and supporting implementation throughout production.

Maaden 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

• Strong data modeling capabilities (logical/physical, dimensional) and ability to document and communicate designs clearly.
• Understanding of data quality, lineage, metadata, and governance requirements for enterprise data products.
• Ability to work across engineers, analysts, and business stakeholders to resolve definition and integration challenges.
• Experience with modeling tools and SQL; familiarity with cloud data platform design considerations.
• Strong analytical thinking and ability to troubleshoot modeling and integration defects.