Data and AI Architect (Saudi Arabia)

Eram Talent; Dammam; On-site; SAR 420,000 - 640,000; Full time

Job summary

Eram Talent is seeking a Data and AI Architect to define and govern our enterprise data architecture, extending it to support AI, ML, and MLOps capabilities. The role ensures trusted, secure, and optimized data assets to enable advanced analytics and data-driven decision-making across the organization.

The ideal candidate has 15+ years in enterprise data architecture, hands-on experience with data lakes, data warehouses, cloud-native architectures, and familiarity with TOGAF governance

Qualifications

• Bachelor's degree in a related field.
• 15+ years of enterprise data architecture and governance experience.
• Proven ability to design enterprise-scale data platforms.
• Hands-on knowledge of AI/ML platforms and MLOps.
• Experience with cloud-native data architectures.
• Knowledge of TOGAF and governance practices.
• Strong stakeholder management and leadership.

Responsibilities

• Define and govern the organization's enterprise data architecture.
• Extend architecture to support AI, ML, and MLOps capabilities.
• Ensure data assets are trusted, governed, secure, and optimized.
• Enable advanced analytics, scalable AI solutions, and data-driven decision-making.
• Collaborate with stakeholders to drive data-driven decisions and roadmaps.
• Develop data standards, governance frameworks, and technology roadmaps.
• Oversee metadata management, master data management, and data quality.

Skills

Enterprise Data Architecture

Data Governance

Data Quality

Stakeholder Management

Leadership

Communication

Education

Bachelor's degree in Computer Engineering/Computer Science/Information Systems

Master's degree preferred

Tools

TOGAF

Azure/AWS/GCP

Data Warehousing

Data Lakes

MLOps frameworks

APIs & Event-driven architectures

Job description

The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.

Education

• Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required).
• Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.

Experience

• 15+ years of progressive experience in enterprise data architecture, data governance, and information management.
• Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures.
• Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.

Required Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field.
• 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics.
• Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures.
• Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures.
• Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms.
• Strong understanding of data governance, metadata management, master data management, and data quality frameworks.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices.
• Strong stakeholder management, communication, and leadership skills.

Preferred Certifications

• TOGAF Certification
• Microsoft Azure Solutions Architect Expert
• AWS Certified Solutions Architect – Professional
• Google Professional Cloud Architect
• DAMA Certified Data Management Professional (CDMP)
• Microsoft Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty

Technical Competencies

• Enterprise Data Architecture
• Data Governance & Data Quality
• Master Data Management (MDM)
• Metadata Management & Data Catalog
• Data Warehousing & Data Lakes
• Lakehouse Architecture
• AI & Generative AI Architecture
• Machine Learning & MLOps
• Enterprise Integration & APIs
• Security, Privacy & Compliance
• Analytics & Business Intelligence
• Architecture Governance
• DevSecOps & CI/CD for AI