Enterprise Data Architect: Strategy & AI Enablement

The Securities and Futures Commission (SFC); Hong Kong; On-site; HKD 350,000 - 520,000; Full time

Job summary

The Securities and Futures Commission seeks an experienced Enterprise Data Architect to shape its data foundation and set the architecture for trusted data governance, integration, sharing and use across the organisation. You will translate the Data & AI strategy into a practical target architecture and roadmap covering data platforms, information models, integration, metadata, data quality and governance.

This is a strategic yet hands-on role to establish durable foundations for analytics, ML

Qualifications

• 10+ years of experience in Data Architecture, Information Architecture, Enterprise Architecture, Solution Architecture or Data Engineering.
• Bachelor’s or Master’s degree in computer science, information systems, engineering, data science or related discipline.
• Proven experience designing enterprise-scale data platforms and architectures.
• Deep knowledge of information modelling, data domains, metadata management, data warehousing and data integration.
• Strong understanding of relational and non-relational technologies, APIs, ETL/ELT and modern data-engineering patterns.
• Experience establishing architecture principles, standards and governance processes.
• Good understanding of catalogue, lineage, quality, observability and governance tools.
• Experience designing secure and scalable data environments across cloud, on-premises and hybrid platforms.
• Exposure to advanced analytics, machine learning, generative AI or related data-enabled technologies would be an advantage.
• Strong communication and stakeholder-management skills.
• Relevant professional certifications (TOGAF, CDMP, Azure) would be an advantage.
• Experience in financial services or regulated environments would be an advantage.

Responsibilities

• Define and maintain the SFC’s enterprise data architecture strategy, principles, standards and roadmap.
• Develop and govern the enterprise information model, data domain architecture and target-state data landscape.
• Establish architecture patterns for structured, semi-structured and unstructured data.
• Set standards for data modelling, integration, metadata, quality and lifecycle management.
• Ensure architecture decisions support regulatory objectives, business needs and enterprise tech strategy.
• Lead architecture design and evolution of enterprise data platforms, analytics environments, metadata services and integration capabilities.
• Provide a robust foundation for analytics, ML, generative AI and future data-driven capabilities.
• Establish reusable patterns for data ingestion, transformation, APIs, data products and access.
• Design metadata, catalogue, lineage and data-quality capabilities to improve discoverability and trust.
• Evaluate emerging data and AI-enabling technologies for business fit, security, resilience and cost.
• Define approaches for semantic models, reference data and governed knowledge sources.
• Lead data architecture governance and provide architecture assurance for Data & AI initiatives.
• Partner with divisions, infrastructure, security and governance teams for end-to-end solutions.
• Guide engineers and delivery partners on patterns and standards.
• Manage architecture risks, debt and lifecycle considerations.
• Maintain architecture documentation and communicate recommendations to governance forums.
• Establish expectations for DataOps, automated testing, observability, reconciliation and cost-efficient operations.

Skills

Data Architecture

Enterprise Architecture

Information Architecture

Solution Architecture

Data Engineering

APIs

ETL/ELT

Data Governance

DataOps

Communication

Education

Bachelor’s or Master’s degree in CS/IS/Engineering/Data Science

Tools

Azure

Data Catalog

Job description

The Securities and Futures Commission seeks an experienced Enterprise Data Architect to shape its data foundation and set the architecture for trusted data governance, integration, sharing and use across the organisation. You will translate the Data & AI strategy into a practical target architecture and roadmap covering data platforms, information models, integration, metadata, data quality and governance.

This is a strategic yet hands-on role to establish durable foundations for analytics, ML