Senior Data Architect; Data & AI

Location: Doha, Qatar
Job Category: Information Technology (IT) & Software;
Science & Research;
Banking & Insurance

Nair Systems is seeking an experienced Senior Data Architect (Data & AI) to support its operations in Qatar. This opportunity is suited to senior professionals with 7–10 years of experience in data architecture, enterprise data management, data engineering, or related disciplines. Experience in banking or financial services is preferred, while GCC and Qatar banking experience is highly desirable.

The selected candidate will oversee enterprise data architecture frameworks supporting data analytics and artificial intelligence initiatives. The role involves defining data models, governing data integration, reviewing architecture designs, and ensuring alignment with data governance, data quality, security, privacy, and regulatory requirements. The successful candidate will also contribute to AI architecture assessments and the implementation of Responsible AI controls.

This position requires strong architectural judgment, analytical skills, and stakeholder management capabilities. Candidates with experience in modern data platforms, cloud and hybrid architectures, data governance frameworks, and AI/ML data ecosystems will be well suited to the opportunity. The required joining timeframe is within two weeks, with a maximum of one month.

• Govern and oversee the enterprise data architecture framework supporting data analytics and AI initiatives.
• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.
• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns.
• Ensure alignment with data governance, data quality, security, privacy, and regulatory requirements.
• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, and performance.
• Establish and maintain technical controls supporting Responsible AI, including data validation, bias detection, explainability, traceability, and monitoring.
• Review vendor solutions for alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.
• Conduct data-focused assessments of third-party solutions to evaluate compliance with data protection, privacy, and regulatory requirements.
• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.
• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.
• Support regulatory compliance initiatives, audits, and architecture governance forums.
• Act as a subject matter expert in data governance, AI governance, Responsible AI, and architecture review forums.

• Minimum 7–10 years of experience in data architecture, enterprise data management, data engineering, or related disciplines.
• Banking or financial services experience is preferred.
• GCC and/or Qatar banking experience is highly desirable.

• Strong understanding of enterprise data architecture principles.
• Expertise in data modeling, data integration, and data governance frameworks.
• Knowledge of modern data platforms, data warehouses, lake houses, ETL/ELT frameworks, and analytics ecosystems.
• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.
• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.
• Knowledge of data governance, data quality, metadata management, and regulatory data management requirements.

• Strong analytical and architectural capabilities.
• Effective stakeholder management and communication skills.
• Ability to evaluate technical solutions against enterprise architecture standards.
• Ability to contribute to architecture governance, compliance reviews, and cross-functional technical discussions.

The following certifications are preferred:

• TOGAF
• DAMA
• Certified Data Management Professional (CDMP)
• Cloud Architecture certifications

The employer has not specified the salary range or compensation package for this position.

The role provides an opportunity to contribute to enterprise-scale data architecture, analytics, and AI initiatives. The responsibilities offer scope for continued professional development in…