Job description

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

Requirements

Must-haves

AI & Data Center of Excellence – Abu Dhabi, UAE
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.
Experience Requirement
Senior Level Only: 8–10+ years of experience in data architecture, data platforms, or enterprise data transformation
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
Google Cloud Platform (GCP)
Data Architecture & Modelling
Enterprise data modelling frameworks (e.g., Kimball, Data Vault)

Nice-to-haves

Preferred Profile

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawsazuregcpapiaccessibility

Platform: breezy
Effort: medium