مهندس معمارية البيانات

We are looking for an experienced Data Architect to design and lead scalable, secure, and high-performing data solutions across enterprise environments. [Cairo - Hybrid]

Key Responsibilities

• Define and maintain enterprise data architecture, standards, principles, and best practices.

• Design conceptual, logical, and physical data models aligned with business and technical requirements.

• Define data architecture for transactional systems, data platforms, data warehouses, and analytical environments.

• Design scalable data integration and data exchange solutions across applications, platforms, APIs, and external systems.

• Define data flows, data lineage, data ownership, and data lifecycle management.

• Establish and enforce data governance, data quality, metadata, and master data standards.

• Collaborate with business, application, infrastructure, security, and engineering teams.

• Design and review ETL/ELT processes, data pipelines, and integration frameworks.

• Ensure data solutions meet requirements for performance, scalability, availability, security, and compliance.

• Lead data architecture initiatives related to digital transformation, modernization, and cloud adoption.

• Produce and review architecture documentation, data models, technical designs, and architecture standards.

• Provide technical leadership and guidance to data engineers, developers, and implementation teams.

Required Skills & Experience

• 8+ years of experience in Data Architecture, Data Engineering, Database Architecture, or related fields.

• Strong expertise in data modeling, database design, and SQL.

• Strong understanding of relational and non-relational databases.

• Hands-on experience with data integration, ETL/ELT, APIs, and data pipelines.

• Strong knowledge of data warehousing and analytical data platforms.

• Solid understanding of data governance, data quality, metadata, master data, and data lineage.

• Experience designing data solutions across on-premise, cloud, or hybrid environments.

• Strong understanding of data security, privacy, access management, and regulatory requirements.

• Experience with enterprise-scale systems and complex integration landscapes.

• Strong analytical, problem-solving, communication, and stakeholder management skills.

• Ability to translate complex business requirements into practical and scalable data architecture solutions.

Preferred Qualifications

• Experience with cloud data platforms and modern data architecture patterns.

• Knowledge of Data Lake, Data Lakehouse, Data Warehouse, and modern analytics architectures.

• Experience with Big Data, real-time/streaming data, and event-driven architectures.

• • Relevant certifications in Data Architecture, Cloud, Data Engineering, or Enterprise Architecture are a plus.