Data Solutions Architect

Description

Summary: This strategic leadership role as a Data Solutions Architect involves defining, designing, and governing enterprise-wide data architecture for advanced analytics, AI-driven decision-making, and regulatory compliance. Highlights: 1. Lead enterprise-wide data architecture and transformation initiatives 2. Shape data strategy for advanced analytics and AI-driven decisions 3. Ensure regulatory compliance in financial data ecosystems **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