Enterprise Data Architect Enterprise Data Modeler Data Management Architect

Enterprise Data Architect/ Enterprise Data Modeler/ Data Management Architect (Banking, Cantonese speaking is a MUST) Role Summary As a Data Architect within the Architecture Section of the Technology Division, you will be responsible for defining the target data architecture, technology roadmaps, and governance frameworks that power the bank's digital transformation and analytical capabilities. You will serve as the strategic bridge between technology strategy, enterprise data management, and data governance, ensuring that the bank's data assets are scalable, secure, high-quality, and compliant with regulatory standards. Key Responsibilities

1. Enterprise Data Architecture & Design

• Define, maintain, and drive the Target Data Architecture vision and technology roadmap for the Technology Division.
• Establish end-to-end data models (conceptual, logical, physical) across enterprise data repositories, data warehouses, lakehouses, and operational data stores.
• Evaluate and select modern data architecture technologies (e.g., cloud data lakes, real-time streaming, event-driven integration, master data management).
• Partner with Solutions Architects and Enterprise Architects to ensure project-level designs conform to bank-wide data architecture standards and reference models.

2. Data Governance & Metadata Management

• Lead the architectural strategy for Data Governance frameworks (e.g., DAMA-DMBOK, BCBS 239, regulatory compliance guidelines).
• Design and implement metadata architecture, including centralized Data Catalogs, automated Data Lineage tracking, and Data Dictionaries.
• Architect automated Data Quality measurement frameworks to continuously assess, monitor, and report on data accuracy, completeness, and timeliness.
• Define technical standards for Master Data Management (MDM), Data Privacy, and Sensitive Data Protection (encryption, masking, access controls) in collaboration with Information Security and Risk teams.

3. Delivery & Governance Oversight

• Establish data architecture principles, design patterns, and best practices for technical execution across project teams.
• Conduct data architecture reviews and governance gates for major technology initiatives and modernizations.
• Provide expert guidance on complex data migration, integration, and platform modernization projects. Key Qualifications & Experience
• Experience: 8+ years in IT/Technology, with at least 4–5 years in a dedicated Data Architect or Lead Data Modeler role.
• Industry Experience: Financial services / banking experience is strongly preferred, with familiarity with regulatory data expectations (e.g., HKMA SPM guidance, BCBS 239 data lineage).
• Governance Expertise: Strong knowledge of recognized Data Governance Frameworks (e.g., DAMA-DMBOK). Experience implementing data cataloging, lineage, and data quality tools (e.g., Collibra, Informatica EDC/Axon, Alation, Azure Purview, or AWS Glue Data Catalog).
• Technical Skills:
• Proficiency in Enterprise Data Modeling (ER studio, PowerDesigner, or similar).
• Hands-on knowledge of modern cloud data stacks (e.g., AWS, Azure, Snowflake, Databricks).
• Strong understanding of SQL, NoSQL, Data Lakehouse paradigms, real-time data streaming (Kafka), and RESTful/GraphQL APIs.
• Certifications (Bonus): CDMP (Certified Data Management Professional), TOGAF, or Cloud Data Engineering/Architect certifications (AWS/Azure).
• Communication: Excellent stakeholder management and communication skills to advocate for data architecture and governance standards across both business and technology stakeholders.