Lead Specialist, Modeling & Arch II
Ma'aden عرض جميع الوظائف
- الرياض
- دائم
- دوام كامل
- 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.
- 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 implementation throughout production.
- 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.
- 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.