Data Architect @ Diyar United Company | IT Recruitment
Job Purpose :
The Data Architect is responsible for designing, governing, and optimizing the organization’s enterprise data architecture. The role ensures that data is reliable, secure, high‑quality, and accessible to support business operations, analytics, AI / ML initiatives, and digital transformation goals. The Data Architect serves as the strategic technical lead for data platforms, data standards, and data governance frameworks.
Responsibilities :
- Define the enterprise data architecture blueprint (data flow, storage, processing, access layers).
- Develop data models (conceptual, logical, physical) for operational and analytical systems.
- Ensure alignment of data architecture with business strategy, digital transformation, and regulatory requirements.
- Define data domain boundaries and maintain the organization’s data taxonomy.
- Design data integration patterns (ETL / ELT, streaming, API‑based ingestion).
- Oversee the integration of data from multiple systems (ERP, CRM, IoT, SaaS platforms).
- Ensure interoperability standards (JSON / REST, XML, CSV).
- Define data exchange protocols with external entities and third‑party systems.
- Define and enforce data quality rules (accuracy, completeness, consistency, timeliness).
- Work with data stewards to ensure consistent data definitions and metadata management.
- Monitor and report data quality KPIs.
- Define and enforce data governance policies (ownership, lineage, cataloging).
- Create data quality rules and monitor accuracy, consistency, completeness, and timeliness.
- Support MDM initiatives and maintain enterprise data dictionaries.
- Work with Data Stewards to ensure consistent data definitions and classification.
Education
Bachelor’s in Computer Engineering, Computer Science, Information Systems, or related field.Master’s preferred; certifications in data platform architecture (Azure, AWS, GCP) are a plus.Experience
12+ years of experience in data architecture, data engineering, or enterprise architecture.Experience in cloud data platforms (Azure preferred for government, Data platforms such as Informatica or BigID).Technical Skills
Experience with Azure Data Factory, Synapse, Databricks, Data Lake storage.ETL / ELT patterns, data warehouse design, and MDM.Knowledge of data governance (DAMA‑DMBOK or DCAM frameworks).#J-18808-Ljbffr