Data Architecture & Modeling Specialist
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Key skills for this role
About the Role
Design and govern enterprise data architecture solutions, develop data models, ensure data quality, and collaborate with cross-functional teams for data-driven initiatives.
Key Skills for This Role
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
Requirements
- 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field
- Hands on experience with ERwin or ER/Studio for enterprise data modeling
- Strong experience with Data Vault or Kimball dimensional modeling methodologies
- Experience designing data architectures on BigQuery or Snowflake
- Experience with Teradata and enterprise scale data warehouse environments
- Hands on experience with Collibra or Alation for data governance
- Experience with CDC tools and real time data integration patterns
- Strong understanding of enterprise architecture principles and data strategy
- Excellent analytical, problem solving, and communication skills
Full Job Posting
Job Description
- Job Title: Data Architecture & Modeling Specialist
- Experience: 6 12+ Years
- Location: Riyadh Onsite
- Employment Type: Full Time
- 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, modern 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.
- Data Modeling Methodologies: Strong experience with Data Vault or Kimball dimensional modeling methodologies.
- Cloud & Enterprise Data Platforms: Experience designing data architectures on BigQuery or Snowflake.
- Data Warehousing Technologies: Experience with Teradata and enterprise scale data warehouse environments.
- Data Governance & Metadata Management: Hands on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship.
- Data Integration & Change Data Capture: Experience with CDC tools and real time data integration patterns.
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