Data Solutions Architect

AI & Data Center of Excellence – Abu Dhabi, UAE

Role Overview As a Data Solutions Architect, you will define, design, and govern enterprise-wide data architecture to ensure alignment with business strategy, regulatory requirements, and long-term scalability needs.

This is a strategic leadership role that requires deep expertise in financial data ecosystems and enterprise transformation initiatives. You will play a critical role in shaping the organization’s data strategy, enabling advanced analytics, AI-driven decision-making, and regulatory compliance across multiple business domains.

Experience Requirement • Senior Level Only: 8–10+ years of experience in data architecture, data platforms, or enterprise data transformation

Key Responsibilities • Design and implement enterprise-level data architecture frameworks (e.g., data lake, data warehouse, data mesh)

• Define and enforce data governance, security, and compliance standards across the organization

• Lead the architecture of AI and machine learning platforms and enterprise data products

• Collaborate closely with business, technology, and risk teams to align data capabilities with strategic priorities

• Ensure compliance with regulatory frameworks (e.g., GDPR and local financial regulations)

• Drive adoption of modern data paradigms such as Data Mesh and Data Product-based architectures

• Establish best practices for data integration, scalability, performance, and reliability

• Guide enterprise data transformation programs and modernization initiatives

Financial Services Expertise (Mandatory) Candidates must demonstrate hands-on experience in financial data environments, including:

• Regulatory reporting and compliance-driven data architectures

• Risk and finance data platforms

• Customer and transaction data models

• Data governance frameworks aligned with regulatory requirements

Technical Expertise Cloud Platforms

• AWS

• Azure

• Google Cloud Platform (GCP)

Data Architecture & Modelling

• Enterprise data modelling frameworks (e.g., Kimball, Data Vault)

• Data warehouse and data lake architectures

• Data integration and distributed data systems

Databases & Data Technologies

• Relational databases

• NoSQL databases

• Graph databases

• Vector databases

Data & AI Platforms

• API-driven data ecosystems

• MLOps and AI platform architecture

• Scalable data infrastructure design

Evaluation Criteria Candidates will be evaluated based on:

• Proven experience delivering enterprise-scale data architecture solutions

• Ability to align business strategy with data and analytics strategy

• Experience leading large-scale data transformation or modernization programs

• Leadership capabilities and stakeholder influence across technical and business teams

• Track record of implementing governance, compliance, and scalable data frameworks

Key Performance Indicators (KPIs) • Scalability, reliability, and performance of enterprise data platforms

• Compliance with governance and regulatory requirements

• Adoption of enterprise data architecture standards across business units

• Reduction of data silos and improvement in data accessibility and consistency

• Enablement of advanced analytics and AI capabilities across the organization

Preferred Profile • Experience leading enterprise data transformation initiatives in banks, financial institutions, or NBFC environments

• Strong stakeholder management skills at executive and leadership levels

• Demonstrated ability to drive organization-wide adoption of data strategy and architecture frameworks

• Experience working in complex, regulated, or multi-country environments

• Strategic mindset with strong decision-making and communication skills