Data Architect – Damascus, Syria

About the role

The Data Architect will own the end‑to‑end data architecture of a platform that manages project, procurement, asset, work order, financial and telecom validation data. Based in Damascus, this full‑time on‑site position requires strong expertise in enterprise data modeling, integration and migration.

Key responsibilities

• Define and maintain logical and physical data architectures for operational, master and archival data.
• Design data models covering project delivery, procurement, BOQ, work orders, assets, invoicing and handover processes.
• Establish data ownership, master data rules, validation rules and quality controls.
• Design data flows between the platform and ERP, IAM, network, planning, inventory and reporting systems.
• Lead data migration from legacy systems, including mapping, cleansing, transformation, loading and reconciliation.
• Create reporting and archiving structures for historical and operational analytics.
• Define auditability, data lineage, retention, archival and regulatory controls.
• Support PostgreSQL (or equivalent) performance tuning, indexing, partitioning, clustering, backup and recovery.
• Collaborate with business and technical teams to standardise data definitions for reporting, finance and audit.

Required profile

• Bachelor’s degree in Computer Engineering or a related field.
• 10+ years of experience in data architecture, enterprise data management, database design, integration or migration.
• Proven experience designing data architecture for large transactional platforms.
• Strong background with relational databases such as PostgreSQL, Oracle or SQL Server.
• Experience with ERP data integration, especially purchase orders, invoices and fixed assets.
• Familiarity with telecom asset data, network inventory and equipment validation.

Required skills

• PostgreSQL (including clustering and high availability)
• Oracle
• SQL Server
• Data modeling and master data management
• Data migration, ETL/ELT processes
• API integration and payload design
• Data quality, validation and reconciliation
• Data lineage, auditability and archival controls
• Power BI and data warehousing/lakehouse concepts
• TOGAF exposure and DAMA CDMP certification (preferred)