"Data Platform Lead"

Job Description

We are seeking an experienced Data Platform Lead to oversee data platform teams in NUS. This role will be responsible for leading and guiding teams in the development of high-quality data platforms, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data platform delivery lifecycle.

This role will manage a team of ~20 data engineers and modellers handling data platforms such as data lake, data warehouse, and MDM hub development with a plan for future growth. This role will also play a big part to transform the current data platform technologies into cloud based.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise

• Involved in setting direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organisation.
• Design of enterprise data model.
• Ensure adherence to best practices in design, development, testing, and maintenance.

Leadership and Team Management

• Lead and mentor teams, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to teams in managing the full data lifecycle.
• Develop and implement strategies to enhance team performance and productivity.
• Foster collaboration and high-performance culture within the team.

Delivery Management

• Ensure timely and high-quality product platforms delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of end-to-end data platform solutions to meet the university’s needs.
• Oversee the exploration, deployment, and integration of new technologies into the university's data infrastructure.

Quality Assurance

• Implement quality control and testing procedures to guarantee the delivery of high-quality data platforms.
• Direct the assessment and implementation of data quality solutions to improve accuracy, usability, and reliability of data across all data platforms.
• Ensure all data platforms align with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.