Data Architect (FinTech)

Job Title: Data Architect (FinTech)
Contract Type: Permanent
Location: Singapore
Salary: SGD 130000 to SGD 180000
Reference: AY/DA/FT/SG
Contact Name: Adrian Yuen
Contact Email:
Job Published: January 30, 2020 15:30

Job Description

  • Multinational organisation          
  • Reporting to the Head of Applications and Technology
  • Performing a role at a regional (APAC) level

Our client is a leading investment firm who have launched a key service line that will increase its scope to provide a better partnership with their investors. 

The Data Architect will be responsible for the creation, maintenance and management of a data strategy that is aligned with business needs, reflects best practices and increases option value for the business unit and/or organisation. This role will serve as a subject matter expert informing data governance and data transformation initiatives to the wider organisation. 

Key Responsibilities

  • Work as a hands-on architect that will provide oversight, structure and governance of the enterprise data for optimal accuracy and usage.
  • Work with the data governance committee to help define data related policies and procedures
  • Define the data roadmap and champion the use of visual modelling tools and the deployment of data and analytics platform.
  • Ensure the supervision and monitoring of all Data Warehouse Architecture activity
  • Build a unified data platform from the ground up that will cater for Data Acquisition, Data Lakes, Data Transformation, Data Warehousing, Visualisation and Data Science
  • Provide guidance and technical oversight for the selection, configuration, deployment and maintenance of Cloud data platform using structured deployment processes and frameworks

 Key Requirements

  • Minimum 7 years of experience translating complex business requirements into data solutions that achieve business goals and meet performance, scalability, quality and extensibility needs
  • Experience in building a unified data platform from scratch
  • Strong technical experience using, Microsoft SQL, Azure, Python and Hadoop
  • Demonstrated experience in designing and deploying full stack data analytics platforms using data warehousing technologies and data visualisation tools such as PowerBI and Tableau
  • Ability to provide leadership, clear direction and mentoring


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