Senior Data Architect (Data & AI)

Jobpal; Qatar; On-site; QAR 420,000 - 660,000; Full time

Job summary

Nair Systems is seeking a Senior Data Architect (Data & AI) for its Qatar operations. You will lead the Enterprise Data Architecture, define data models, and ensure the integrity of data flows across on‑prem, cloud, and hybrid environments.

You will review designs, establish Responsible AI controls, and collaborate with stakeholders to meet regulatory data requirements and analytics goals.

Qualifications

• 7–10+ years in Data Architecture, EDM, or Data Engineering, preferably in banking/finance.
• Strong knowledge of data modeling, integration, governance, and quality.
• Experience across on‑premises, cloud, and hybrid data environments.
• Familiarity with AI data ecosystems and responsible AI concepts.
• Regulatory data management experience is a plus.

Responsibilities

• Govern and oversee the Enterprise Data Architecture framework for analytics and AI.
• Define and maintain data models—conceptual, logical, and physical.
• Review data architecture designs, data flows, lineage, and integration patterns.
• Assess AI use cases for data sourcing, scalability, and performance.
• Establish controls for Responsible AI including bias detection and explainability.
• Evaluate vendor solutions for architecture alignment, security, and performance.
• Perform data-focused assessments of third‑party solutions per regulatory requirements.
• Review BRS, solution designs, and PIR from a data perspective.
• Governing data integration frameworks, ETL/ELT, APIs, streaming and batch data flows.
• Support regulatory compliance audits and architecture governance forums.
• Act as SME in Data Governance, AI Governance, and Architecture Review forums.

Skills

Data Architecture

Enterprise Data Management

Data Modeling

Data Integration

Data Governance

AI/ML data ecosystems

Architecture review

Stakeholder management

Regulatory data management

On-prem/cloud/hybrid architectures

Education

TOGAF

DAMA, CDMP (certifications)

Cloud Architecture certifications

Job description

Nair Systems is currently looking Senior Data Architect (Data & AI) for our Qatar operations with the following terms & conditions.

Required Skills and Experience

• Minimum 7-10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.
• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.
• Strong knowledge with modern data platforms, data warehouses, lakehouses, 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, architectural, and stakeholder management skills.
• GCC and/or Qatar banking experience is highly desirable.
• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred.

Key Responsibilities

• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.
• 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 to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.
• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.
• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.
• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.
• Conduct data-focused assessments of third-party solutions, ensuring 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 (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums.

Joining time frame: 2 weeks (maximum 1 month)