Data Architect

Sembcorp Industries is a leading energy, water and marine group operating across five continents worldwide. With facilities of over 10,000 megawatts of gross power capacity and close to 9 million cubic metres of water per day in operation and under development, Sembcorp is a trusted provider of essential energy and water solutions to both industrial and municipal customers. It is also a world leader in marine and offshore engineering, as well as an established brand name in urban development.

The Group has total assets of S$21 billion and employs over 7,000 employees. Listed on the main board of the Singapore Exchange, it is a component stock of the Straits Times Index and several MSCI and FTSE indices.

Sembcorp is embarking on a major transformation journey that focused on improving value, deepen market presence, capture product innovation and growth. At the core of this transformation is the Sembcorp Digital business aiming to further strengthen its leadership position through the modernization and innovation of its technology capability. Data Science and smart Analytics are critical components of the Digital strategy in Sembcorp, being used to optimize our entire value chain - from plant design and operations to building a direct to consumer retail business. As a result, Sembcorp is looking to develop a global Data Science team of talented and passionate data specialists, with a range of experience and expertise, to establish and drive strategy in collaboration with our business, functional and market leaders.


• Experience working closely with a world-class global engineering team,
business leaders, and diverse data sets to help solve real life problems and
make a positive impact on business
• Develop effective data models and data architectures to meet business and
project requirements
• Work with both traditional business data warehouse and Cloud based platforms
to design and develop scalable data repositories to help the delivery of
analytics/data science projects
• Create and manage a data models portfolio to maximise reusability, expedite
analytics project delivery and ROI
• Apply best practices to manage solution implementations


• Bachelor or Higher Degree in Computer Science, Computer Engineering or a
related field
• About 3-5 years of experience of designing enterprise data architectures and
data models, developing and implementing strategies on sustainable
acquisition, consolidation and the analysis of data in a relevant industry
• Hands-on knowledge in building scalable data repositories, including but not
limited to relational and non-relational databases, data lakes and warehouse
• Hands-on knowledge of working with data modelling tools
• Fluency with query / data processing tools like SQL, Hive, etc.
• Experience with enterprise (e.g. SAP) and Cloud based data platforms (e.g.
Azure Data Lake) is preferred
• Experience with building data pipelines to support analytics/data science
application development is strongly preferred
• Effective technical and business communication skills
• Team player with good interpersonal, communication and problem solving skills
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