Data Architect – Damascus, Syria

About the role

The Data Architect will own the platform’s data architecture, covering operational models, master data, migration, quality, reporting, archival, reconciliation and auditability. The platform supports project, procurement, asset, work‑order, financial and telecom/network validation data. The position is full‑time, onsite in Damascus, with Arabic preferred.

Key responsibilities

• Define and maintain logical and physical data architecture for the platform.
• Design data models for project delivery, procurement, BOQ, work orders, implementation, as‑built, acceptance, assets, invoicing and handover.
• Establish data ownership, master‑data rules, reference data, validation rules and quality controls.
• Design data flows between the platform and ERP, IAM, network, planning/design, inventory and reporting systems.
• Lead data‑migration strategy from legacy systems, including mapping, cleansing, transformation, loading, validation and reconciliation.
• Design reporting and archival structures for historical and operational data.
• Define auditability, data lineage, retention, archival and regulatory controls.
• Support PostgreSQL or enterprise database performance design (indexing, partitioning, clustering, backup, recovery, query optimisation).
• Collaborate with business and technical teams to standardise data definitions for reporting, operations, finance and audit.
• Support reconciliation between operational data and enterprise systems of record.

Required profile

• Bachelor’s degree in Computer Engineering or a related field.
• 10+ years of experience in data architecture, enterprise data management, database design, data integration or data migration.
• Proven experience designing data architecture for enterprise transactional platforms.
• Strong experience with relational databases such as PostgreSQL, Oracle or SQL Server.
• Hands‑on experience with data migration from legacy applications.
• Experience integrating data models, API payloads, ETL/ELT processes, data validation and reconciliation.
• Experience building reporting, archival and operational analytics data structures.
• Ability to work with stakeholders to define data ownership, quality and master‑data rules.

Required skills

• PostgreSQL
• Oracle
• SQL Server
• Data modeling
• Data migration
• ETL / ELT
• API integration
• Data validation
• Data quality controls
• Data lineage & auditability
• Indexing, partitioning, clustering
• Backup & recovery
• Query optimisation
• Power BI
• Data warehousing / lakehouse architecture
• TOGAF exposure (optional)