Solution Architect (Data, Bank/ Finance, 70-85K)

Swing Consulting Ltd.

Hong Kong

On-site

HKD 781,000 - 949,000

Full time

14 days+

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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

SW9047 |17 Sep 2026 Solution Architect (Data, Bank/ Finance, 70-85K)

  • Pipeline & Software Engineering: Design scalable, real-time, and batch ETL pipelines using enterprise integration tools. Write optimized, production-grade applications in both Java and Python.
  • Data analysis and cleansing: Normalize and cleanse data from multiple sources, and build automation to enforce and verify the same.
  • Database Management: Coordinate data movement and schema evolution across a diverse matrix including Oracle, PostgreSQL, GaussDB, OceanBase, Object-Oriented databases, and NoSQL systems.
  • Data Modelling & Architecture: Architect conceptual, logical, and physical data models tailored for transactional and analytical systems, maintaining meticulous schema documentation.
  • DLT & Cloud Integration: Build resilient data solutions within secure cloud environments, seamlessly parsing and structuring Distributed Ledger Technology (DLT) data.
  • Stakeholder Facilitation & Support: Facilitate data working groups to foster cross-departmental alignment. Proactively collect technical requirements from non-technical stakeholders, translate business needs into data schemas, and provide tier-3 technical support for downstream analytics teams.
  • Data Governance & Security: Implement data security, access controls, and data quality monitoring frameworks.
  • Degree holder or above in Computer Science, Information Technology, Data Engineering or related fields.
  • 7+ years of relevant experience in data engineering / programming within capital markets or FinTech, or related roles.
  • Skilled in Java and Python, alongside proven expertise in data modelling frameworks and technical writing.
  • Hands-on experience with Oracle, Postgres, GaussDB, OceanBase, NoSQL, or Object-Oriented databases.
  • Strong stakeholder management, communication, and documentation skills, with ability to communicate clearly in business language while working effectively with technical teams.
  • Solid understanding of data governance, data quality, reporting processes, and the relationship between business processes, data pipelines, and platform capabilities.
  • Experienced in public and private clouds is highly preferred.
  • Working experience with government projects will be a plus.
  • Good communication skills in Cantonese, English, and Mandarin.
  • Benefits:
  • 5-day Work Week
  • 75-85K Depends on Experience
  • 10-20 Days Annual Leave

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