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Senior Database Architect & Data Modeler

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Onsite

Senior Database Architect & Data Modeler

Digital Egypt For Investment Co.

Senior Database Architect & Data Modeler

Skills

Google Cloud PlatformSQL QueriesMongoDBPostgreSQLMySQLCassandraAWSOracleAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Giza, El Omraniya, Giza Governorate, Egypt

Work mode:

Onsite

Published on:

24 September 2026

What they need


Responsibilities
  • Lead the design and evolution of conceptual, logical, and physical enterprise data models aligned with business, operational, and integration requirements.
  • Define entities, relationships, identifiers, constraints, reference structures, integrity rules, history, and lifecycle requirements within enterprise databases.
  • Review and govern database schemas and data-model changes to ensure consistency, scalability, maintainability, and alignment with application architecture.
  • Define data-architecture standards, modeling conventions, naming rules, data dictionaries, and structural documentation for enterprise systems.
  • Support integration architecture through source-to-target mapping, schema alignment, data transformation requirements, and cross-system data-model reconciliation.
  • Coordinate with application, database operations, integration, and data teams to ensure consistent implementation of approved data architecture and models.

Qualifications:-

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in database design, architecture, and data modeling.
  • Proven experience as a Database Architect, Data Modeler, or Senior DBA in large-scale enterprise environments.
  • Strong expertise in relational database platforms (e.g., Oracle, SQL Server, PostgreSQL, MySQL).
  • Hands-on experience with data modeling tools (e.g., ERwin, ER/Studio, PowerDesigner, or similar).
  • Solid understanding of dimensional modeling, star/snowflake schemas, and data warehouse design.
  • Experience with NoSQL databases (e.g., MongoDB, Cassandra) and modern data lake/data lakehouse architectures is a plus.
  • Strong knowledge of SQL performance tuning, indexing strategies, and query optimization.
  • Familiarity with data governance, data quality, and master/reference data management principles.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP) is an advantage.
  • Excellent analytical, problem-solving, and communication skills, with the ability to present technical concepts to both technical and business stakeholders.
  • Relevant certifications (e.g., Oracle Certified Architect, Microsoft Certified: Azure Database Administrator, or equivalent) are a plus.

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