Data Architect
Financial Services, Insurance
Minimum Requirements
- BSc in Computer Science, Information Systems, or related field.
- 8+ years’ Experience as a Data Architect
- 3+ years designing and implementing cloud-based data platforms
- Financial services industry knowledge
- with Agile development methodologies
- AWS Certified Data Analytics / Solutions Architect (advantageous)
- TOGAF, DAMA, or CDMP certification (advantageous)
- Strong understanding of data modelling
- with data architecture in cloud platforms (AWS and Azure)
- Strong experience with data lake, lakehouse, and data warehouse architecture.
- Familiarity with financial data domains (customer, product, transaction, risk, and regulatory data).
- Ability to communicate complex data concepts to non-technical stakeholders
- Awareness of current and emerging technologies (e.g., cloud computing, artificial intelligence, IoT)
- Understanding of digital transformation initiatives and how to integrate new technologies into existing business processes
- Cybersecurity principles, practices, and regulations to protect data and systems
- Agile development methodologies
- Database technologies
- Cloud technologies
- Problem-solving
- Collaboration
- Stakeholder management
- Communication
- Strategic thinker
- Team player
- Translate business needs into data-driven architectural solutions and roadmaps aligned to enterprise strategy.
- Provide architectural leadership and governance for data initiatives across business domains.
- Develop and maintain enterprise data models (conceptual, logical, physical) and ensure consistent modelling standards across domains.
- Define and maintain reference architectures, target state blueprints, and reusable patterns for ingestion, storage, transformation, serving, and analytics.
- Align with other IT and data architectural areas within the group to ensure coherence and interoperability.
- Define architecture for data ingestion, processing, storage, and analytics using modern tooling and practices.
- Design cloud-native and hybrid data platforms (AWS primary
- Azure familiarity beneficial).
- Design and oversee implementation of cloud-based data platforms such as data lakehouse, warehouse, or data mesh-aligned architectures.
- Configure and manage the operational cloud data platform, including key architectural decisions around scalability, availability, resilience, and cost controls.
- Ensure an Infrastructure as Code (IaC) approach for platform provisioning and repeatable environment builds.
- Define and document data integration frameworks and engineering standards (pipeline patterns, naming
- standards, schema evolution patterns, testing Responsibilities Data Architecture Leadership (Enterprise & Domain) Translate business needs into data-driven architectural solutions and roadmaps aligned to enterprise strategy.
- This role establishes the target state data platform architecture (cloud-native and hybrid), ensures data assets are structured, governed, and optimized, and provides architecture leadership across domains to unlock value across the value chain (customer service, risk and compliance, digital transformation).
- In addition, the role explicitly ensures the data platform is AI/ML-ready, by enabling capabilities such as high-quality curated datasets, feature and inference data patterns, metadata/lineage, and operational controls that support reliable AI/ML development and deployment at scale.
- Data Architecture Leadership (Enterprise & Domain)
- Modern Cloud Data Platform Architecture (AWS-first
- Hybrid-capable)
- Data Engineering Enablement & Delivery Assurance (Hands-on Architectural Accountability)
- standards, schema evolution patterns, testing Responsibilities Data Architecture Leadership (Enterprise & Domain)
- standards, schema evolution patterns, testing
- as a Data Architect
Responsibilities
- Translate business needs into data-driven architectural solutions and roadmaps aligned to enterprise strategy.
- Provide architectural leadership and governance for data initiatives across business domains.
- Develop and maintain enterprise data models (conceptual, logical, physical) and ensure consistent modelling standards across domains.
- Define and maintain reference architectures, target state blueprints, and reusable patterns for ingestion, storage, transformation, serving, and analytics.
- Align with other IT and data architectural areas within the group to ensure coherence and interoperability.
- Define architecture for data ingestion, processing, storage, and analytics using modern tooling and practices.
- Design cloud-native and hybrid data platforms (AWS primary
- Azure familiarity beneficial).
- Design and oversee implementation of cloud-based data platforms such as data lakehouse, warehouse, or data mesh-aligned architectures.
- Configure and manage the operational cloud data platform, including key architectural decisions around scalability, availability, resilience, and cost controls.
- Ensure an Infrastructure as Code (IaC) approach for platform provisioning and repeatable environment builds.
- Define and document data integration frameworks and engineering standards (pipeline patterns, naming
- standards, schema evolution patterns, testing Responsibilities Data Architecture Leadership (Enterprise & Domain) Translate business needs into data-driven architectural solutions and roadmaps aligned to enterprise strategy.
- Data Architecture Leadership (Enterprise & Domain)
- Modern Cloud Data Platform Architecture (AWS-first
- Hybrid-capable)
- Data Engineering Enablement & Delivery Assurance (Hands-on Architectural Accountability)
- standards, schema evolution patterns, testing Responsibilities Data Architecture Leadership (Enterprise & Domain)
- standards, schema evolution patterns, testing
