Why Join
As a Data Architect at OCBC, you will be at the forefront of transforming the bank's data architecture, enabling large-scale machine learning and analytics use cases, and driving the bank's Digital Transformation. You will have the opportunity to work on a multi-year roadmap to modernize the OCBC data architecture, collaborating with business and technology leads, application architects, data science, and data engineering teams across the bank. This is a unique chance to make a significant impact on the bank's future and build a career as a Subject Matter Expert in data architecture.
How you succeed
To succeed in this role, you will need to be a strategic thinker with a deep understanding of data architecture and its role in driving business outcomes. You will need to be able to collaborate with stakeholders across the group to ensure buy-in on strategic data initiatives and define data platform processes and best practices. You will also need to be a strong communicator and influencer, able to consult and influence digital application teams and provide training and share best practices across teams.
What you do
- Contribute to the roadmap to transform data architecture focusing on scalability, performance, and flexibility
- Maintain data architecture framework, standards, and principles
- Contribute to reference architecture and architectural designs solution context diagram and conceptual data model
- Work closely with data engineering team, Business Analysts, and support the design aligning with the bank's data architecture standards and principles
- Consult and influence digital application teams regarding solutions
- Provide training and share best practices across teams regarding data architecture design and solution implementation
- Develop and apply industry best practice technology, design, and methodology approaches to design bank's data architecture
Who you work with
The Data Architect role is part of the Data Architecture team in OCBC Group Operations and Technology (GO&T) division. You will work closely with data engineering teams, Business Analysts, digital application teams, and other stakeholders across the bank to enable large-scale machine learning and analytics use cases.