Senior Manager (Enterprise Data Architect) - Information Technology, CEO's Office and Central Services

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 is seeking an experienced Enterprise Data Architect to shape its enterprise data foundation and establish the architecture through which trusted data can be governed, integrated, shared and used across the organisation.

The role will translate the SFC’s Data & AI strategy into a practical target architecture and roadmap spanning enterprise data platforms, information models, integration, metadata, data quality and governance capabilities.

This is a strategic and hands on architecture role for someone with deep data expertise who can establish durable foundations for analytics, machine learning, generative AI and a more data-enabled regulator. Data architecture is the core requirement, while AI-enabling architecture experience would be a strong advantage.

Duties & Responsibilities:

Enterprise Data Strategy and Architecture

• 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, governance requirements and enterprise technology strategy.

Data Platforms and AI Enablement

• 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, 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 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.

Architecture Governance and Delivery

• 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.

Requirements:

• 10+ years of relevant experience in Data Architecture, Information Architecture, Enterprise Architecture, Solution Architecture or Data Engineering.

• Bachelor’s degree or Master’s degree in computer science, information systems, engineering, data science or a related discipline.

• Proven experience designing enterprise-scale data platforms and architectures.

• Deep knowledge of enterprise 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, such as TOGAF, CDMP or Microsoft Azure certifications, would be an advantage.

• Experience in financial services, financial regulation, regulatory technology or another highly regulated environment would be an advantage.

All applications will be handled in strict confidence by authorised personnel and will only be used for recruitment related purposes. Applicants who do not hear from us within six months from the application deadline may consider their applications as unsuccessful. All information on unsuccessful candidates will be destroyed after six months.

We are an EQUAL OPPORTUNITY EMPLOYER.