Principal Specialist, Exploration & PDE Data Domain

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 Lead the design, modeling, and evolution of Maaden’s enterprise data architecture across both OT and IT environments. The role ensures that data products, enterprise data layers, and integration patterns are standardized, scalable, high-quality, and governed. It provides expert guidance on how diverse OT and IT data flows should be modeled, aligned, and transformed to support analytics, operations, AI/ML, and enterprise systems. This position is a senior technical authority responsible for defining modeling standards, shaping architecture decisions, and guiding multidisciplinary teams to ensure cohesion, performance, and semantic consistency across the organization. Key Accountabilities Develop conceptual, logical, and physical data models aligned with business domains, following enterprise standards and modeling principles defined in Maaden’s architecture frameworks. Lead the creation and optimization of data product models, enterprise layer schemas, and domain-driven structures for both OT and IT sources. Ensure models consider technology-specific requirements, including relational, non-relational, time-series, and streaming architectures. Architect unified modeling approaches that address the complexities of OT environments such as remote, disconnected, and heterogeneous mining/manufacturing sites, and the differing data ingestion, latency, and operational constraints. Establish integration patterns ensuring consistent transformation logic, metadata, lineage, and data quality across OT–IT boundaries. Define and maintain enterprise modeling standards, guidelines, and reusable templates to ensure consistency across the organization. Review and approve modeling deliverables from internal teams and external vendors. Mentor data modelers, engineers, and analysts to uplift enterprise modeling maturity Minimum Qualification, Experience and Competencies Minimum Qualification Bachelor’s degree in Computer Science/Eng, Data Engineering, Information Systems, or related field. Master’s degree preferred (Data Architecture, Software Engineering, or AI/Analytics). Minimum Experience 10–15 years of experience in data modeling, data architecture, or enterprise information architecture. Demonstrated experience designing models and architectures across both OT and IT landscapes. Strong experience with cloud-native platforms (Azure preferred), modern data platforms, metadata tools (e.g., Informatica), and modelling standards/frameworks. Maaden High Performance Competencies Solution and domain architecture design Systems integration and interoperability Translation of business needs into architecture Cross-domain and cross-platform collaboration Strong design governance and guidance Skills Mastery of conceptual, logical, and physical data modeling. Expertise in data architecture frameworks, enterprise modeling principles, and metadata management. Understanding of OT systems (SCADA, DCS, historians, sensors) and IT data platforms. Ability to design data flows from edge to cloud, including ingestion, storage, curation, and consumption layers. Knowledge of modeling tools (Erwin, ER/Studio, Sparx EA, etc.) and lineage/governance tooling. Benefits 1. Career Growth 2. Competitive Salaries 3. Comprehensive Package 4. Inclusive Work Environment 5. Work-Life Balance 6. Employee wellness