Data Architect supports Chief Data Office by building a scalable, well structured, and AI ready data foundation.
Design conceptual, logical, and physical data models for the enterprise data warehouse and data marts.
Participate in defining data standards, modeling conventions, and reusable data patterns.
Support dataset design for analytics, BI, and machine‑learning workloads.
Design frameworks for metadata management, data governance, lineage tracking, and asset cataloging.
Apply basic data mining techniques (profiling, clustering, outlier detection) to better understand source data and inform data model design.
Use machine learning fundamentals to identify opportunities for optimization (e.g., workload prediction, query pattern analysis, intelligent partitioning).
Work with data engineers, analysts, and business teams to deliver data requirements.
Document technical designs, data dictionaries, and operational procedures.

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
5+ years of experience in data engineering and architecture, particularly within the FSI sector.
Understanding of data architecture principles (data layers, integration patterns, schema design).
Hands‑on experience with data modeling tools.
A fast learner with understanding of data technology a preference.
Experience with ETL/ELT development and SQL transformation logic.
Foundational exposure to cloud data warehouses.
Basic understanding of Visualization tools, Data mining methods (profiling, segmentation, correlation analysis), Machine learning concepts (supervised vs. unsupervised learning, model lifecycle), AI applications in data management (metadata extraction, classification, automation).

HKEX is committed as an Equal Opportunity Employer.
Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.

Data Architect – Chief Data Office, IT

Key skills