Team Lead, Data Engineer (VP - SVP)

• Translate the business use cases into reliable, scalable and robust data architecture structures, data modelling layers, and underpinning platform both high and detailed level with techniques and methodologies that will support the business and server unit’s strategy.
• Design and implement the data architecture/models/platform for the data & analytics capability evolution, which requires close cooperation with local and global stakeholders and tech teams.
• Work with Data Stewards and Data Analysts and technology teams to train up them on the metadata/reference management framework and how to achieve goals of its management by using tools like Collibra, which includes formalizing the metadata description, capture methods, registries and maintaining enterprise code sets.
• Partner with Data Stewards and Data Analysts and technology teams in actively advising key stakeholders including project/product owners on future data management technology options with risks, costs, benefits, capabilities and achievability highlighted.
• Regularly review and improve the effectiveness of existing data architectures and the supporting platform.
• Work with Business/Service Units and other data architects (global organization) to produce all required design specifications and ensure sure data solutions and models work together and specifications be followed when design new products and services to fulfill business needs.
• Work with Application teams to make sure IT projects align with the data platform architecture strategic design and data service engineering standards.
• Partner with CISO to maintain data security by implementing controls like role-based access.
• Provide data platform engineering service.

• Bachelor’s degree or above in Computer Science, or AI/ML related majors. Business or Finance knowledge a good plus.
• 15+ years data related experience with 3+ years Data Architecture equivalent role.
• Rich experience in data platform setup projects including data lake/data warehouse/big data platform/ETL.
• Rich experience in implementing core practice of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premises or public-cloud environment, where everything is automated.
• Solid understanding or hands on experience of both traditional RDBMS and Hadoop ecosystem, strong capability to design feasible and business catered data architecture.
• Proven experience in data model design, ETL/data ingestion design, data migration design, master data management, analytics initiatives and preferably experience in building a data foundation from scratch.
• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data.
• Knowledge and understanding of banking data like customer information, products and transaction information preferred.
• Excellent management and delivery skills。
• Demonstrated track record of a high level of personal initiative and leadership, and of setting and achieving challenging goals.
• Must be able to work effectively and build strong relationships with teams throughout the organization。

DBS Bank