Data Architect - Investment Data (Azure) 60-80K
Michael Page
Hong Kong
Full time
Temporary
On-site
HK$60,000 - HK$80,000 per month (HK$720,000 - HK$960,000 per year)
About the job
- Join a growing data team in dynamic investment environment
- Work with modern cloud data platforms and Azure tools
Our client is a well-established, medium-sized organization in the financial services sector. The company is known for leveraging cutting-edge technology to deliver innovative solutions and remains committed to excellence in its field.
Job Description
- Design and implement scalable, modern data architectures across the organisation
- Develop data models to support investment data, analytics, and reporting needs
- Lead ETL processes and optimise data pipelines for performance and reliability
- Oversee master data management and data quality frameworks
- Collaborate with business stakeholders to translate requirements into solutions
- Provide technical leadership and mentor junior team members
- Drive adoption of cloud data technologies, including Azure Data Factory and Databricks
- Ensure governance, consistency, and best practices in data lifecycle management
- Work in a fast-paced environment, delivering solutions under evolving business needs
- 7-8 years' experience in data architecture or related roles
- Strong expertise in modern data architecture and data modelling techniques
- Hands-on experience with Azure Data Factory, Databricks, and cloud ecosystems
- Proven background in ETL development, MDM, and data quality management
- Familiarity with investment data within asset management or securities firms
- Demonstrated leadership or team management experience
- Strong business understanding within wealth management or brokerage environments
- Ability to thrive in dynamic, fast-changing environments
- Excellent analytical, communication, and stakeholder management skills
- Competitive monthly salary and benefits package.
- Opportunity to work in a respected medium-sized organization within the financial services industry.
- Exposure to innovative technology and data-driven projects.
- Chance to collaborate with a team of experienced professionals.
- Potential for professional development and skill enhancement.