Senior Enterprise Data Architect & Strategy Lead

Securities and Futures Commission; Hong Kong; On-site; HKD 1,000,000 - 1,400,000; Full time

Job summary

The Securities and Futures Commission seeks an experienced Enterprise Data Architect to shape its data foundation and define architecture to govern, integrate, share and use trusted data across the organisation.

The role translates the Data & AI strategy into a practical target architecture and roadmap spanning enterprise data platforms, information models, metadata, data quality and governance capabilities, with a hands-on approach to enable analytics, machine learning and AI-enabled regulation.

Qualifications

• 10+ years of experience in Data Architecture or related fields.
• Degree in CS/IS/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 analytics, machine learning, generative AI or related data-enabled technologies would be an advantage.
• Strong communication and stakeholder-management skills.
• Certifications such as TOGAF, CDMP or Microsoft Azure certifications would be an advantage.
• Experience in financial services, financial regulation or regulated environments would be an advantage.

Responsibilities

• Define and maintain the 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, governance requirements and enterprise technology strategy.
• Lead architecture design and evolution of enterprise data platforms, analytical environments, metadata services and integration capabilities.
• Ensure the enterprise data architecture provides a robust foundation for analytics, machine learning and AI-enabled regulation.
• Establish reusable patterns for data ingestion, transformation, APIs, data products and access.
• Design metadata, catalogue, lineage and data-quality capabilities that improve discoverability and trust.
• Evaluate emerging data and AI-enabling technologies based on business fit, security, resilience and cost effectiveness.
• Define architectural approaches for semantic models, reference data and governed knowledge sources that support analytics, search and AI-enabled use.
• Lead data architecture governance and provide architecture assurance for Data & AI initiatives.
• Partner with business divisions, infrastructure, Information Security and governance teams to ensure coherent end-to-end solutions.
• Guide engineers and delivery partners on architecture patterns and standards.
• Manage architecture risks, technical debt and lifecycle considerations.
• Maintain architecture documentation and communicate recommendations to governance forums.
• Establish architecture expectations for DataOps, automated data testing, observability, reconciliation, recovery and cost-efficient operation of enterprise data services.
• Build internal Data Architecture capability and ensure knowledge transfer from vendors and delivery partners.

Skills

Data Architecture

Enterprise Architecture

Solution Architecture

Data Modeling

Data Warehousing

APIs

ETL/ELT

Security & Governance

Stakeholder Management

TOGAF / Certifications

Education

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

Tools

Data catalog tools

Job description

The Securities and Futures Commission seeks an experienced Enterprise Data Architect to shape its data foundation and define architecture to govern, integrate, share and use trusted data across the organisation.

The role translates the Data & AI strategy into a practical target architecture and roadmap spanning enterprise data platforms, information models, metadata, data quality and governance capabilities, with a hands-on approach to enable analytics, machine learning and AI-enabled regulation.