Enterprise Data Modeling & Architecture Lead

Maaden; Saudi Arabia; On-site; SAR 40,000 - 66,000; Full time

Job summary

Maaden seeks a senior data architect to lead enterprise data modeling, standards, and governance across domains. The role designs canonical models, conformed dimensions, and data product schemas for analytics, AI, and trusted consumption.

You will drive scalable, audit-ready patterns and mentor delivery teams to ensure architecture quality. The candidate will partner with data governance and engineering to embed metadata, lineage, and data quality into modeling and integration patterns, enabling

Qualifications

• 10–15 years in data modeling, data architecture or enterprise data delivery.
• Experience building conceptual, logical and physical models and canonical data structures.
• Experience defining modeling standards, metadata, lineage, governance controls and QA.

Responsibilities

• Lead enterprise data modeling across conceptual, logical and physical layers.
• Define canonical models, conformed dimensions, and curated layer schemas for analytics and AI.
• Shape data product schemas and data architecture across relational, non-relational, time-series and lakehouse platforms.
• Ensure modeling patterns address performance, scalability, auditability, and reuse across domains.
• Partner with governance to align glossary, stewardship, metadata and data quality controls.
• Mentor teams, review deliverables, and document architecture decisions for enterprise adoption.

Skills

Enterprise data modeling

Data architecture patterns

Data governance

Conformed dimensions

Master data / reference data

Source-to-consumption pipelines

Data quality and lineage

Communication of decisions

Architectural assurance

Education

Bachelor’s Degree in Computer Science / related

Master’s Degree in Data Architecture / analytics (preferred)

Job description

Maaden seeks a senior data architect to lead enterprise data modeling, standards, and governance across domains. The role designs canonical models, conformed dimensions, and data product schemas for analytics, AI, and trusted consumption.

You will drive scalable, audit-ready patterns and mentor delivery teams to ensure architecture quality. The candidate will partner with data governance and engineering to embed metadata, lineage, and data quality into modeling and integration patterns, enabling