Data Architect – Capital Markets

IO TECH SOLUTIONS LIMITED; Hong Kong; On-site; HKD 900,000 - 1,600,000; Full time

Job summary

IO TECH SOLUTIONS LIMITED is seeking a hands-on Data Engineer / Data Solution Architect to join a financial services project in Hong Kong. The role centers on building data solutions and platforms rather than routine operations.

Responsibilities include designing scalable ETL pipelines, data modeling, and secure cloud architecture across Oracle, PostgreSQL, GaussDB, OceanBase, and NoSQL. English plus Cantonese or Mandarin are required.

Qualifications

• University degree in information technology, computer engineering or related fields.
• 7+ years of programming and data engineering experience within capital markets or FinTech.
• Advanced proficiency in Java and Python, alongside proven expertise in data modelling frameworks and technical writing.

Responsibilities

• Design scalable, real-time, and batch ETL pipelines using enterprise integration tools.
• Normalize and cleanse data from multiple sources, and build automation to enforce and verify the same.
• Coordinate data movement and schema evolution across databases and NoSQL systems.
• Architect data models for transactional and analytical systems with meticulous schema documentation.
• Build resilient data solutions within secure cloud environments, including Distributed Ledger Technology data parsing.
• Facilitate data working groups and translate business needs into data schemas for analytics teams.
• Implement data security, access controls, and data quality monitoring frameworks.

Skills

Java

Python

Data modelling

Technical writing

Communication

Education

University degree in information technology, computer engineering or related fields

Tools

Oracle

PostgreSQL

GaussDB

OceanBase

NoSQL

Job description

We're 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 we're 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 bothJava 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 databases,and 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 technicalsupport for downstream analytics teams.
• Implement data security, access controls, and data quality monitoring frameworks.