Data Platform Lead

**Posting Start Date**:13/12/2024 About NUS ITWe drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT. As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future. 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. **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. - Minimum of 12 years of experience in technical leadership roles, with a strong emphasis on data platforms engineering and technology management. - Proven ability to lead and inspire cross-functional teams, promoting collaboration and achieving project objectives. - Exceptional problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation. - In-depth knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures. - Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands. - Relevant experience in designing, developing, and supporting data platforms, having successfully completed at least five full cycles of the SDLC in data platforms delivery - Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors. - Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit. **Technical Expertise** - Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica. - Strong working experience in Azure Data services, preferably Azure Fabric. - Strong data modelling and database design working experience for transactional and analytical systems. - Strong database working experience, including querying and tuning large, complex data sets and performance analysis - Working experience in master data management, preferably in customer domains. - Working experience in big data and DataSecOps is an added advantage. **More Information