Canopy (HK) (HK) - Data Architect - Global Fintech Startup

Mid Level
Hong Kong
Data Architect - Global Fintech Startup
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About Us

At, you are empowered to think big and do things that have never been done before. You will be working with talented, interesting, ambitious and humble people, all passionate in developing a brand-new product from scratch. We value teamwork as well as an open and dynamic culture. We encourage our employees to engage with one another and work side by side with the executive team to achieve one united goal – bringing cryptocurrency in every wallet.

Who we're looking for

We're looking for a Data Architect - Global Fintech Startup to join our team at!

What you will be doing
  • Responsible for our data strategy, database and data warehouse architecture design and optimization
  • Responsible for database administration
  • Work with vendors to implement solutions under our data strategy
  • Analyze structural requirements for new software and/or applications
  • Migrate data from legacy systems to new solutions
  • Design conceptual and logical data models and flowcharts
  • Define database physical structure and functional capabilities, security, back-up, and recovery specifications.
  • Coordinate with relevant stakeholders to identify future needs and requirements
  • Provide operational support for applications
  • Coordinate with data consuming parties with any change and integration
Who you are
  • Excellent verbal and written skill in English
  • BSc in Computer Science or relevant field
  • Proven work experience (5+ years) as a Data Architect, Data Scientist, Data Analyst, Database Admin or similar role
  • In-depth understanding of database structure principles
  • Experience gathering and analyzing system requirements
  • DB Administration experience including installation, configuration, optimization, security in a highly available enterprise environment
  • Expertise in mainstream DB products (PostgreSQL, Oracle, MySQL, Mongo, etc.)
  • Expertise in AWS or Cloud managed DB services (RDS, Dynamo, Mongo, etc.)
  • Familiarity with data visualization tools
  • Knowledge of data mining and segmentation techniques and analytical skills is a plus
  • Problem-solving attitude
  • Excellent interpersonal skills. Ability to work effectively both independently and in a team environment

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