Job Description: Data Architecture & Modeling Specialist

Job Title: Data Architecture & Modeling Specialist
Experience: 6–12+ Years
Location: Riyadh - Onsite
Employment Type: Full-Time

Job Overview

We are seeking an experienced Data Architecture & Modeling Specialist with 6–12+ years of experience to design, develop, and govern enterprise data architecture solutions. The ideal candidate will have strong expertise in data modeling methodologies, up-to-date data platforms, data governance, and data integration patterns. This role requires the ability to define scalable data architectures, develop conceptual/logical/physical data models, and enable data-driven transformation initiatives across the organization.

Key Responsibilities

- Design and implement enterprise data architecture strategies aligned with business and technology objectives.
- Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms.
- Create and maintain data models using industry-standard modeling tools.
- Apply data modeling methodologies including dimensional modeling and Data Vault architecture.
- Design scalable data warehouse and data lake architectures.
- Define data architecture standards, principles, and best practices.
- Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions.
- Develop and maintain metadata, data lineage, and data governance frameworks.
- Support data platform modernization initiatives and cloud data transformation programs.
- Evaluate and recommend data technologies, tools, and architectural approaches.
- Ensure data quality, consistency,



security, and compliance across enterprise data assets.

Required Technical Skills

Data Modeling & Architecture Tools

- Hands-on experience with ERwin or ER/Studio for enterprise data modeling.
- Strong understanding of conceptual, logical, and physical data modeling principles.
- Experience creating enterprise-level data models and architecture documentation.

Data Modeling Methodologies

- Strong experience with Data Vault or Kimball dimensional modeling methodologies.
- Understanding of data warehouse design patterns, star schemas, and enterprise analytics models.

Cloud & Enterprise Data Platforms

- Experience designing data architectures on BigQuery or Snowflake.
- Experience with large-scale enterprise data platforms and modern data warehouse architectures.
- Strong understanding of cloud data architecture principles.

Data Warehousing Technologies

- Experience with Teradata and enterprise-scale data warehouse environments.
- Knowledge of performance optimization, partitioning, and scalable data storage strategies.

Data Governance & Metadata Management

- Hands-on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship.
- Experience defining data lineage, business glossaries,



and governance frameworks.

Data Integration & Change Data Capture

- Experience with CDC (Change Data Capture) tools and real-time data integration patterns.
- Understanding of data replication, streaming, and integration architectures.

Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- 6–12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management.
- Strong understanding of enterprise architecture principles and data strategy.
- Excellent analytical, problem-solving, and communication skills.
- Experience working with cross-functional teams in Agile environments.

Preferred Skills

- Experience designing cloud-native data architectures.
- Knowledge of modern data lakehouse architectures.
- Familiarity with data governance frameworks and regulatory requirements.
- Experience with SQL, ETL/ELT concepts, and data integration frameworks.
- Experience supporting enterprise digital transformation initiatives.
- Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus.

Key Technology Stack

- Data Modeling Tools: ERwin or ER/Studio
- Modeling Methodologies: Data Vault or Kimball
- Cloud Data Platforms: BigQuery or Snowflake
- Enterprise Data Warehouse: Teradata
- Data Governance: Collibra or Alation
- Data Integration: CDC Tools
- Architecture Practices: Enterprise Data Architecture and Data Governance and Metadata Management and Data Lineage

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📌 Data Architecture & Modeling Specialist (India)
🏢 Datamatics Technologies
📍 India