Data Architect – Capital Markets
Posted:
22 September 2026 (Yesterday)
Application Deadline:
20 December 2026
Vacancies:
1 Vacancy
Job Summary
Were looking for a hands-on Data Engineer / Data Solution Architect to join a financial services project in Hong Kong.
The role is ideal for someone who enjoys building data solutions and platforms rather than focusing mainly on day-to-day operations or support.
What were looking for:
- University degree in information technology computer engineering or related fields
- At least 7 years of programming and data engineering experience within capital markets orFinTech featuring deep domain knowledge of the front-to-back office trade lifecycle.
- Advanced proficiency in Java and Python alongside proven expertise in data modellingframeworks and technical writing.
- Hands-on experience working on Oracle Postgres GaussDB OceanBase NoSQL orObject-Oriented databases.
- Proficiency working in public and private clouds.
- Good communication skills to work with user community for analysis and reporting.
- Candidates must be proficient in English and Cantonese or Mandarin.
Job Responsibilities include:
- Design scalable real-time and batch ETL pipelinesusing enterprise integration tools. Write optimized production-grade applications in both
Java and Python. - Normalize and cleanse data from multiple sources and buildautomation to enforce and verify the same.
- Coordinate data movement and schema evolution across a diverse
matrix including Oracle PostgreSQL GaussDB OceanBase Object Oriented databasesand NoSQL systems. - Architect conceptual logical and physical data modelstailored for transactional and analytical systems maintaining meticulous schema
documentation. - Build resilient data solutions within secure cloud environments
seamlessly parsing and structuring Distributed Ledger Technology (DLT) data. - Facilitate data working groups to foster crossdepartmental alignment. Proactively collect technical requirements from non-technicalstakeholders translate business needs into data schemas and provide tier-3 technical
support for downstream analytics teams. - Implement data security access controls and data quality
monitoring frameworks.