Data Platform Lead
National University of Singapore
Job Overview
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Job Description
About NUS IT
NUS Information Technology (NUS IT) is committed to providing reliable, high-performance, and secure IT solutions, alongside effective IT governance for the campus. At NUS IT, we are dedicated to transforming NUS into a borderless computing community, offering knowledge at your fingertips by enhancing the use of effective applications and services for teaching and learning.
We cultivate a forward-looking culture, where our IT professionals, driven by a strong passion, continuously strive to improve, push boundaries, and innovate with a 'can-do' attitude. We champion collaboration, open communication, and knowledge sharing. If you thrive in a dynamic environment and are eager to break new ground with innovative ideas, NUS IT is the place for you.
As part of our team, you can expect an empowered work environment that supports your career growth. We offer competitive remuneration and flexible work arrangements. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.
https://nusit.nus.edu.sg/
Job Description
We are seeking an experienced Data Platform Lead to oversee data platform teams at the National University of Singapore (NUS). This pivotal role involves leading and guiding teams in the development of high-quality data platforms, ensuring they meet business needs and align with NUS's strategic goals. The Data Platform Lead will also ensure proper implementation across all stages of the data platform delivery lifecycle.
This role entails managing a team of approximately 20 data engineers and modellers focused on data platforms such as data lake, data warehouse, and MDM hub development, with plans for future expansion. A significant aspect of this position is transforming current data platform technologies into cloud-based solutions. This is a hands-on leadership role, requiring candidates to have been actively involved in hands-on development for at least five years prior.
Duties and Responsibilities
Technical Expertise
- Involved in setting direction for data platforms and their technologies, including framework, architecture, standards, and guidelines.
- Provide technical guidance and expertise to teams, solving complex technical challenges.
- Stay updated on emerging technologies and industry trends to drive innovation.
- Design enterprise data models.
- Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
- Lead and mentor teams, fostering innovation, collaboration, and excellence.
- Provide direction and guidance in managing the full data lifecycle.
- Develop and implement strategies to enhance team performance and productivity.
- Foster a collaborative and high-performance culture within the team.
Delivery Management
- Ensure timely and high-quality product platform delivery, aligning with project objectives, scope, and timelines.
- Oversee the design and implementation of end-to-end data platform solutions.
- Oversee exploration, deployment, and integration of new technologies into the data infrastructure.
Quality Assurance
- Implement quality control and testing procedures to guarantee high-quality data platforms.
- Direct the assessment and implementation of data quality solutions to improve accuracy, usability, and reliability.
- Ensure all data platforms align with 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 mitigating risks.
- 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 to interact effectively with all levels of management, users, and vendors.
- Must be a good team player, proactive, fast learner, highly organized, and possess a 'go-getter' attitude with a 'can-do' spirit.
Technical Expertise Required
- Strong working experience in end-to-end development of data lakes and data warehouses, preferably with Informatica.
- Strong working experience in Azure Data services, preferably Azure Fabric.
- Strong data modelling and database design experience for transactional and analytical systems.
- Strong database 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
Location: Kent Ridge
Organization: NUS Infocomm Technology
Department: Applications - Applications Architecture & Technology
Employee Referral Eligible: Yes
Job requisition ID: 25169
Key skills/competency
- Data Platform Engineering
- Technical Leadership
- Cloud Data Platforms (Azure)
- Data Lake Development
- Data Warehouse Architecture
- Master Data Management (MDM)
- Data Modelling & Database Design
- Quality Assurance (Data)
- Team Management
- Strategic Planning
How to Get Hired at National University of Singapore
- Research NUS IT's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their focus on innovation and collaboration.
- Tailor your resume for Data Platform Lead roles: Highlight your extensive experience in data platform engineering, cloud technologies (especially Azure), and hands-on leadership. Emphasize achievements in managing large data teams and successful project deliveries.
- Showcase technical expertise: Prepare to discuss your strong background in data lake/warehouse development, data modeling, database tuning, and MDM. Provide specific examples of how you've solved complex technical challenges.
- Demonstrate leadership and strategic thinking: Emphasize your ability to lead, mentor, and foster high-performance teams. Be ready to articulate your strategic vision for data platforms and how you align technical initiatives with organizational goals at National University of Singapore.
- Prepare for behavioral interviews: Focus on sharing instances where you've driven innovation, ensured quality assurance, managed complex projects, and collaborated effectively within cross-functional teams at a university setting like NUS.
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