FinTech Data Solutions Architect

Swing Consulting Ltd.; Hong Kong; On-site; HKD 781,000 - 949,000; Full time

Benefits offered by this job

5-day Work Week

75-85K Depends on Experience

10-20 Days Annual Leave

Job summary

Swing Consulting Ltd. seeks a Solution Architect (Data) for Hong Kong, focusing on bank/finance data solutions. You will design scalable ETL pipelines, cleanse and model data, and manage schemas across Oracle, PostgreSQL, GaussDB, OceanBase and NoSQL.

Strong English Cantonese/Mandarin communication is required. Role involves collaborating with stakeholders, enabling secure cloud data environments, and providing Tier-3 support for analytics teams while ensuring data governance and quality across

Qualifications

• 7+ years in data engineering or related roles in capital markets/FinTech
• Proficient in Java and Python; strong data modelling
• Experience with Oracle, PostgreSQL, GaussDB, OceanBase or NoSQL
• Excellent stakeholder management and cross‑functional communication
• Fluent in Cantonese, English and Mandarin

Responsibilities

• Design scalable ETL pipelines in real-time and batch modes using enterprise tools
• Analyze and cleanse data from multiple sources; build automation
• Coordinate data movement and schema evolution across databases
• Model data for transactional and analytical systems; maintain schemas
• Develop secure cloud-based data solutions and DL T integration
• Support data governance, security, and data quality monitoring

Skills

Java

Python

Data pipelines

Data modelling

SQL

Big data

Education

Bachelor's degree in Computer Science/IT/Data Eng

Tools

Oracle

PostgreSQL

GaussDB

OceanBase

NoSQL

Job description

Swing Consulting Ltd. seeks a Solution Architect (Data) for Hong Kong, focusing on bank/finance data solutions. You will design scalable ETL pipelines, cleanse and model data, and manage schemas across Oracle, PostgreSQL, GaussDB, OceanBase and NoSQL.

Strong English Cantonese/Mandarin communication is required. Role involves collaborating with stakeholders, enabling secure cloud data environments, and providing Tier-3 support for analytics teams while ensuring data governance and quality across