28 Data Architect jobs in Riyadh

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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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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.

Key Deliverables:

• 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.

Qualifications:

• 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.

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

Requirements:

• 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

Benefits:

Why Join Us:

• Opportunity to work with a talented and passionate team.
• Competitive salary and benefits package.
• Exciting projects and innovative work environment.

Mid-Senior level

Full-time

Other

IT Services and IT Consulting

Overview

As a Data Architect at Master-Works, you will play a critical role in shaping our data strategy and architecture. You will be responsible for designing, implementing, and maintaining scalable data solutions that cater to business needs, ensuring high levels of data availability and reliability. Your expertise in data modeling, database design, and data governance will help drive data-driven decisions within the organization.

• Design and develop robust data models and database architectures that support data analytics and reporting
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications
• Implement best practices for data management, including data quality, security, and compliance
• Optimize database performance using advanced tuning and optimization techniques
• Develop and maintain ETL processes to integrate data from various sources
• Conduct data governance and stewardship activities to ensure data integrity and accuracy
• Lead initiatives to modernize data infrastructure, including the adoption of cloud technologies as required

• Bachelors or Masters degree in Computer Science, Information Technology, or a related field
• 5+ years of experience as a Data Architect or similar role
• Proficiency in SQL and experience with database management systems (e.g., Microsoft SQL Server, Oracle, PostgreSQL)
• Strong knowledge of data modeling techniques and best practices
• Experience with ETL processes and tools (e.g., SSIS, Talend, Informatica)
• Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud)
• Excellent analytical and problem-solving skills
• Strong communication and collaboration abilities to work effectively with cross-functional teams

• Mid-Senior level

• Full-time

• Other

• IT Services and IT Consulting

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Notes: This posting may include additional related roles and references not necessary for the role description itself.

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).

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.

Key Deliverables:

• 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.

Qualifications:

• 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.

Responsibilities

• Lead the design and implementation of robust, scalable, and secure data architectures.
• Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.
• Define and enforce data architecture standards, best practices, and governance policies.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Oversee data integration efforts, including ETL/ELT processes, data pipelines, and data warehousing.
• Optimize data storage and retrieval methods for performance, scalability, and cost-effectiveness.
• Evaluate and select appropriate technologies and platforms to support current and future data needs.
• Conduct regular audits and reviews to ensure data integrity, security, and compliance.
• Mentor and guide junior team members in data architecture principles and methodologies.
• Stay updated on emerging data technologies and trends, driving innovation within the organization.

• Data Architecture and Modeling: In-depth knowledge of data modeling (conceptual, logical, physical), and experience defining scalable and efficient architectures.
• Database Technologies: Strong expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra).
• Big Data and Cloud Platforms: Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
• ETL/ELT and Data Integration: Proficiency in ETL/ELT tools and techniques for integrating, transforming, and migrating data across environments.
• Data Governance and Security: Understanding of data governance frameworks, data quality principles, privacy regulations (GDPR, CCPA), and best practices for securing data.
• Performance Optimization: Skills in tuning data systems, improving query performance, and designing data structures that scale.
• Enterprise Architecture Alignment: Ability to align data architectures with broader enterprise architecture goals and business strategies.
• Analytical and Problem-Solving: Strong analytical skills for diagnosing architectural issues, evaluating solutions, and implementing improvements.
• Communication and Collaboration: Excellent communication abilities to work with cross-functional teams, gather requirements, and present complex architectures to stakeholders.
• Continuous Learning: Commitment to staying updated with emerging data technologies, industry trends, and architectural best practices.

Overview

Enterprise data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles. The data architect is responsible for visualizing and designing an organization's enterprise data management framework. This framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. The data architect also provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture.

• Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management
• Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
• Work with data engineers to architect and deliver the solutions that fulfill the business information needs and align with the information vision and strategy
• Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly
• Engage an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets
• Provide advice, guidance, direction, and authorization to carry out major plans and procedures to ensure schedule attainment, product development process adherence, and performance and budget targets are met
• Take an active role in the performance management process by completing goal setting, interim review, and year-end review on a timely basis and soliciting ongoing feedback
• Define the data architecture framework, standards and principles, including modeling, metadata, security, reference data (e.g., product codes and client categories), and master data (e.g., clients, vendors, materials, and employees)
• Define various data architecture artifacts like conceptual data model, logical data model, physical data model, integration catalogs, and related artifacts
• Define reference architecture to provide patterns for creating and improving data systems
• Define data flows, including which parts of the organization generate data, how data flows are managed, and how data changes in transition
• Collaborate and coordinate with multiple departments, stakeholders, partners, and external vendors

• 5-8 years of experience in data architecture domain
• Strong expertise in assessing the current state of data architecture, identifying gaps, and addressing key challenges
• Proven ability to gather and translate business requirements into effective data architecture designs
• Extensive experience in developing reference data architecture frameworks
• Skilled in documenting both current-state and target-state data architectures
• Well-versed in selecting appropriate data principles, industry trends, and standards to guide architecture decisions
• Experienced in choosing suitable content metamodels to align with business and data needs
• Broad knowledge of data integration technologies, patterns, and best practices
• Hands-on experience with data processing tools (ETL/ELT) and modern storage solutions such as data lakes and lakehouses
• Proficient in data modeling using tools like ERwin and ARIS
• Strong background in business process modeling and alignment with enterprise strategies
• Solid understanding of Saudi Arabia’s national regulatory requirements (NDI, NDMO, QIYAS, NORA) and the practical know-how to ensure compliance
• Advanced SQL skills with experience in relational databases and distributed database systems like SingleStore and Vitess
• Experience with a range of NoSQL databases, including Cassandra, MongoDB, Neo4j, Elasticsearch, and the ELK Stack
• Bachelor's degree in Computer Science/Information System
• English and Arabic language proficiency

• Business Unit: Data & Intelligence
• Level: Mid - Senior Level
• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Consulting
• Industries: Business Consulting and Services

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