LOCATION :Cairo / Nasr City
Our headquarter: Riyadh/ suadi arbia
Data Modeling: Design and develop conceptual, logical, and physical data models to represent the organization's data assets. Define data structures, relationships, and constraints to ensure data integrity and consistency.
- Database Design: Evaluate database technologies and select appropriate database management systems (DBMS) based on data requirements, performance considerations, and scalability needs. Design and optimize database schemas, indexes, and queries for efficient data storage and retrieval
- Data Integration: Architect data integration solutions to facilitate seamless data flow and interoperability between disparate systems and applications. Implement data pipelines, ETL (Extract, Transform, Load) processes, and data migration strategies to consolidate and synchronize data across the organization
- Scalability and Performance: Architect scalable and high-performance data solutions capable of handling large volumes of data and supporting real-time analytics and reporting requirements. Optimize data storage, indexing, and caching mechanisms to maximize performance and efficiency
- Data Architecture Documentation: Document data architecture designs, standards, and best practices. Create data dictionaries, data flow diagrams, and architectural diagrams to communicate technical solutions to stakeholders and development teams
- Technology Evaluation: Research and evaluate emerging technologies, tools, and platforms in the data management and analytics space. Recommend adoption of new technologies and methodologies to improve data architecture capabilities and drive innovation
- Design and implement application and data architecture solutions that enable the organization to achieve its goals and objectives
- Collaborate with business analysts and developers to define application and data requirements and specifications
- Develop and maintain the organization's application and data architecture and roadmap
- Ensure that application and data solutions are scalable, reliable, and secure
- Use application and data software, to develop and manage application and data workflows
- Provide training and support to users on application and data solutions
- Ensure that all application and data activities are compliant with orgnaization's objectives and goal (data strategy)
- Stay updated with industry trends, NDMO updates, best practices, and emerging technologies in data architect management
Requirements
- Education: A bachelor's degree in computer science, information technology, data science, or a related field is usually required. Some employers may prefer candidates with a master's degree or higher qualification in these areas
- Technical Skills:
- Proficiency in database technologies such as SQL, NoSQL, and NewSQL
- Experience with data modeling and database design principles
- Knowledge of data warehousing concepts and technologies, including ETL (Extract, Transform, Load) processes
- Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks
- Understanding of cloud platforms and services, such as AWS, Azure, or Google Cloud Platform, and their data-related offerings
- Data Modeling: Strong expertise in conceptual, logical, and physical data modeling techniques, including entity-relationship diagrams (ERDs), dimensional modeling, and schema design
- Must be egyptian
- Analytical Skills: The ability to analyze complex data requirements, identify patterns, trends, and relationships, and translate them into data architecture solutions that meet business needs
- Problem-Solving Abilities: Data architects should be skilled at identifying data-related challenges, devising innovative solutions, and optimizing data architectures for performance, scalability, and efficiency
- Communication Skills: Effective communication skills are essential for collaborating with stakeholders, including business users, data analysts, and developers, to understand requirements, explain technical concepts, and present architecture solutions
- Project Management Skills: Experience in project management methodologies and tools is beneficial for managing data architecture projects, coordinating resources, and ensuring timely delivery
- Knowledge of Data Regulations: Understanding of data governance principles and compliance requirements, including data privacy regulations like GDPR, CCPA, and industry-specific standards
- Continuous Learning: Data architecture is a rapidly evolving field with new technologies and methodologies emerging regularly. Therefore, a commitment to continuous learning and staying updated with industry trends is essential for career growth
Benefits
- Competitive salary and benefits package
- medical and social insurance
- A creative and collaborative work environment
- Ability to travel to suadi arabia
- Opportunities for professional growth and development
- The chance to work on exciting projects for a leading Saudi company
Please, if you fit with this position send us your CV to WhatsApp 01207452780
Email : [Confidential Information]
