47 Data Architect jobs in Saudi Arabia

• Design LLM training/inference pipelines on 1000+ GPU clusters.
• Optimize Spark/Flink for PB-scale financial data processing.
• Lead cross-border AI projects with ex-Google/NVIDIA teams .
• Hands-on experience with GPU clusters & high-performance computing .
• Fluent in Python/C++ and obsessed with scalability .
• Work with top 1% AI talent (50% PhDs from Tier-1 schools).
• Build zero-to-one products in banking/healthcare AI.
• Flexible R&D budget + publish at NeurIPS/ICML .

• 5+ years in AI systems (LLM/Transformer) + Big Data (Spark/MPP DBs).
• Fluent in Python/C++ and obsessed with scalability .
• Work with top 1% AI talent (50% PhDs from Tier-1 schools).

Location: Riyadh, Riyadh, Saudi Arabia

Salary: SAR 20,000.00 - SAR 30,000.00 per month

1. Data modeling and design: Data architects must have the ability to design comprehensive data models that reflect complex business scenarios. They must be proficient in conceptual, logical, and physical model creation. This is the core skill of the data architect and the most requested skill in data architect job descriptions. This often includes SQL development and database administration.
2. Data governance and compliance: With regulations continuing to evolve, data architects must ensure their organization’s data management practices meet stringent legal and ethical standards. They need skills to create frameworks that maintain data quality, security, and privacy.
3. Cloud computing expertise: Organizations are continuing to migrate to cloud-based solutions, making understanding of cloud services, architectures, and storage solutions essential. They must also understand cloud security, hybrid cloud environments, and cost-efficient infrastructure design.
4. Proficiency with big data technologies: Data architects must understand how to implement big data solutions to stream data and real-time analytics.
5. ML and AI integration: They must understand how to build data pipelines that feed into AI algorithms and how to structure databases for ML workloads.
6. Interdisciplinary collaboration: Data architects must be able to work closely with stakeholders including business leaders, IT professionals, data scientists, and developers. They also have to translate business requirements into technical specifications, and vice versa.

Müller's Solutions is on the lookout for a talented Data Architect to join our team. In this role, you will be responsible for designing and implementing comprehensive data architectures that align with the organization's strategic goals. Your expertise will contribute to managing data effectively, ensuring high data quality, and supporting data analytics efforts across various departments. You will collaborate with cross-functional teams to drive the development of innovative data solutions that enhance business processes.

Responsibilities:

• Design, implement, and manage complex data architectures that support business objectives
• Develop and maintain data models, database schemas, and data flow diagrams
• Collaborate with business analysts and stakeholders to gather data requirements and translate them into architectural specifications
• Establish and enforce data governance policies and best practices
• Conduct data quality assessments and implement solutions for data cleansing and accuracy
• Oversee data integration efforts with various systems, ensuring seamless data flow
• Work with IT teams to optimize database performance and storage solutions
• Continuously evaluate and adopt new technologies to enhance data architecture
• Provide mentorship and guidance to junior data professionals
• Stay updated on industry trends and advancements in data architecture and management
  
  

• Bachelor's degree in Computer Science, Information Technology, or related field
• Proven experience as a Data Architect or a similar role
• Strong expertise in data modeling and database design
• Experience with data integration tools and ETL processes
• Familiarity with data governance frameworks and best practices
• Proficient in SQL, as well as experience with database management systems (e.g., Oracle, SQL Server, MySQL)
• Solid understanding of data security principles and practices
• Analytical mindset with excellent problem-solving skills
• Strong communication and interpersonal skills
• Ability to work collaboratively in a team-oriented environment
  
  

One of our clients in the IT service industry is hiring for the position of Data Architect in Riyadh.

Job Title: Data Architect

Location: Riyadh

Notice Period: Immediate joiners or a maximum of one month.

Applicants are requested to apply with their updated resumes and click the following link to update their details to expedite the recruitment process.

• Design and implement large-scale data architecture for complex platforms.
• Develop robust data models supporting both structured and unstructured data.
• Collaborate with data engineers and stakeholders to ensure scalability and performance.
• Optimize data storage, flow, and integration.
• Support data governance and security frameworks.

Minimum Qualifications:

• Bachelor's or Master's degree in IT, Data Science, or Statistics.
• 5+ years of experience in data architecture or similar roles.
• Expertise in enterprise data architecture frameworks.
• Experience with cloud data platforms (AWS, Azure, GCP).
• Proven track record of designing large-scale data systems.

Preferred Qualifications:

• Experience with government or regulated sector projects.
• Basic Arabic language skills or openness to work with translators.
• Professional certifications (e.g., TOGAF, AWS Certified Data Architect).

The Data Architect designs, creates, and manages the data architecture of an

organization. This includes data modeling, data integration, and data governance to

ensure data quality and accessibility for business intelligence, analytics, and operational

systems.

Key Responsibilities:

Design and maintain data models (conceptual, logical, and physical).

Define data standards, policies, and procedures.

Collaborate with data engineers and analysts on data pipelines and storage

solutions.

Ensure data security, integrity, and compliance with regulations.

Evaluate and recommend database technologies and tools.

Qualifications :

Bachelors degree in Computer Science, Data Science, or related field.

5+ years in data architecture or data engineering roles.

Proficient in SQL, data modeling, and data integration tools.

Experience with cloud data platforms (AWS, Azure, GCP).

Knowledge of data governance frameworks and regulations (e.g., GDPR).

Company Industry

• IT - Software Services

Department / Functional Area

• IT Software

Keywords

• Data Architect

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The Job Description

1. Define data architecture strategies, standards, and governance models.
2. Develop conceptual, logical, and physical data models.
3. Collaborate with business and technical stakeholders to ensure data integrity and quality.
4. Enable data integration, interoperability, and advanced analytics.
5. Contribute to the establishment and operations of the EA Office.
6. Ensure compliance with TOGAF and NORA frameworks.

1. Minimum of 10 years of relevant professional experience.
2. Strong experience with TOGAF and NORA frameworks.
3. Proven involvement in establishing and operating EA Offices.
4. Deep knowledge of data modeling, data governance, and data management best practices.
5. Familiarity with modern data platforms (data lakes, cloud databases, BI tools).

Exciting Opportunity
Ines Partners is seeking a talented Data Architect to join our dynamic team in Riyadh, Saudi Arabia.
As a Data Architect, you will play a pivotal role in designing and implementing data-driven solutions that support our business objectives.

Responsibilities:

1. Develop and maintain data architecture roadmaps and blueprints.
2. Define data models, standards, and governance policies.
3. Collaborate with business stakeholders to understand their data needs and requirements.
4. Design and implement data pipelines and data warehouses.
5. Ensure data quality, consistency, and security.
6. Provide technical guidance and support to data analysts and engineers.
7. Stay up-to-date with the latest data architecture trends and technologies.

1. Minimum 5 years of experience.
2. Strong knowledge of data modeling and data warehousing concepts.
3. Proficiency in SQL and data querying languages.
4. Experience with data integration tools and technologies.
5. Understanding of cloud-based data platforms (AWS, Azure, GCP).
6. Strong analytical and problem-solving skills.
7. Fluency in Arabic is essential.

Education: Master’s degree in Computer Science, Data Engineering, or related field (Must have)

This job requires relocation to Saudi Arabia for 12 months.

We are looking for a highly experienced Data Architect to lead the design and implementation of large-scale, hybrid data architectures optimized for telecom environments. The ideal candidate will architect and operationalize secure, scalable, and governed data platforms that enable enterprise-wide analytics, AI, and data democratization.

• Lead the end-to-end architecture for hybrid data environments (on-premise and cloud), optimized for high-volume telco data (e.g., customer usage, billing, network logs).
• Ensure architectural support for real-time analytics , ML pipelines , and BI dashboards across business units.
• Define and maintain reference architecture , standards, and frameworks to enable data democratization and self-service analytics .
• Implement metadata management , security , and governance frameworks in compliance with telecom and national regulatory requirements .
• Work closely with CIO/CTO teams , data engineers , and business stakeholders to align the data strategy with organizational goals.
• Enable cross-platform interoperability and data integration across business domains (CVM, AI, OSS/BSS, customer experience).

• 8+ years of hands-on experience designing and implementing enterprise-scale data architectures .
• Proven expertise in telecommunications data environments , including OSS/BSS systems, customer 360, and usage analytics.
• Experience with hybrid cloud platforms (e.g., AWS, Azure, GCP) and on-prem solutions (e.g., Cloudera, Teradata).
• Strong grasp of data governance , privacy (PDPL, GDPR) , data security , and metadata management practices.
• Deep technical understanding of data lakes , data warehouses , real-time data streaming , and AI/ML enablement .
• Familiarity with data mesh , data fabric , or other modern architectural paradigms.

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Position Overview: As a Data Architect at Master-Works, you will be responsible for designing, building, and maintaining the data architecture that supports our organization's goals. You will collaborate with cross-functional teams to ensure the effective storage, retrieval, and analysis of data, thus enabling data-driven decision-making.

Core Responsibilities:

• Design and implement data models, databases, and data warehouses to support business applications and analytics
• Collaborate with business stakeholders to understand data requirements and translate them into technical specifications
• Develop and maintain ETL processes to ensure the timely and accurate movement of data
• Establish data governance policies and procedures to ensure data quality and integrity
• Optimize database performance, conduct capacity planning, and monitor system health
• Implement data security protocols to protect sensitive information and ensure compliance with regulations
  
  

• Develop robust data architecture documentation and metadata repositories
• Create and manage data pipelines that facilitate data access for analytics and reporting
• Lead efforts to modernize the data infrastructure, including integration with cloud-based services
• Provide technical guidance and support to data analysts and scientists in utilizing data effectively
  
  

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field
• Minimum of 5 years of experience as a Data Architect or in a related role
• Proficiency in SQL and experience with database management systems (e.g., SQL Server, Oracle, PostgreSQL)
• Strong understanding of data modeling concepts and best practices
• Experience with ETL tools and data integration techniques
• Familiarity with cloud data services (e.g., AWS, Azure) is a plus
• Excellent analytical, problem-solving, and communication skills
• Ability to work collaboratively in a team-oriented environment

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

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Riyadh, Riyadh, Saudi Arabia 18 hours ago

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