Data Architect

Position summary

Location

• The description lists the location as UAE.

Experience and education

• Requires 6+ years in Data Architecture, Data Engineering, or Data Management, including 2+ years in a Data Architect or similar role.
• Requires a bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
• Requires proven multi-system enterprise data solution and data migration architecture experience.

Architecture and delivery responsibilities

• Own enterprise data architecture principles, standards, patterns, and roadmaps; design SQL Server analytics and reporting architecture.
• Define conceptual, logical, and physical data models and design ETL/ingestion with SSIS, database connections, APIs, and files.
• Define Power BI semantic models, dashboards, reporting architecture, and role-based access; support Python and scikit-learn analytics.
• Govern migration strategy, mappings, transformations, mock cycles, reconciliation, cutover, validation, and Dynamics 365 migration.
• Define data quality, classification, retention, access, privacy, security, and audit requirements.
• Produce architecture documents and review data engineering, BI, analytics, modeling, and migration designs.
• Support migration testing, cutover readiness, and handover; manage risks and dependencies and mentor data specialists.

Technical requirements

• Requires enterprise data architecture, data modeling, SQL Server, SSIS, ETL, data aggregation, and analytics experience.
• Requires Power BI architecture, semantic models, reporting, dashboards, role-based security, and performance optimization.
• Requires data migration experience across mapping, transformation, cleansing, reconciliation, mock migrations, cutover, and validation.
• Requires Dynamics 365 DMF, standard data entities, and file-based loading experience; working knowledge of Python and scikit-learn.
• Requires governance and knowledge of data quality, metadata, classification, retention, privacy, security, access controls, and security/privacy by design.
• Requires source-to-target mappings, HLDs, TDDs, data models, data-flow diagrams, and architecture documentation.

Certifications and additional qualifications

• TOGAF, CDMP, Microsoft Data Platform, Azure Data, or Power BI certifications are advantageous.
• Large-scale digital or enterprise transformation experience is preferred.
• Strong stakeholder communication, documentation, analytical, problem-solving, architecture decision-making, and multidisciplinary teamwork skills are required.