Senior Principal Consultant (Data Platform Engineering)

National University of Singapore; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

The National University of Singapore is seeking an experienced Data Platform Engineer to manage data platform operations and deliver ELT/ETL frameworks. The role requires a hands-on approach with a focus on technical leadership, quality assurance, and collaboration within the team.

Qualifications

• Minimum 5 years experience in technical leadership roles focused on data platforms.
• Strong knowledge of ELT/ETL frameworks and data engineering solutions.
• Experience in quality assurance processes and methodologies.

Responsibilities

• Participate in the technical design of data platforms.
• Ensure timely design and delivery of ELT/ETL frameworks.
• Provide technical guidance to stakeholders on data operations.

Skills

Problem-solving

Critical thinking

Communication

Collaboration

Education

Bachelor's degree in Computer Science

Tools

Azure Data services

Microsoft Fabric

Job description

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Purpose

We are seeking an experienced Data Platform Engineer to manage data platform operations, and to design and deliver ELT/ETL frameworks at NUS.
The role will be responsible for addressing stakeholders' needs regarding data platform operations and ensuring alignment with business requirements. The role will also co-lead the design, development and maintenance of metadata driven ELT/ETL frameworks in NUS.
This is a hands-on role, and the candidate should have at least 5 years of active, hands-on design and development experience.

Role and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Stay up-to-date with emerging data platform technologies and industry trends to drive innovation.
• Ensure adherence to best practices in ELT/ETL frameworks design, development, testing, and maintenance.
• Provide technical guidance and expertise to the different stakeholders on data platform operations, helping to solve complex technical challenges.
Leadership Management
• Provide guidance to the technical data team on using the data platform and ELT/ETL frameworks.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality ELT/ETL frameworks design and delivery, aligned with project objectives, scope, and timelines.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure alignment with the university's regulatory and compliance requirements.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in technical leadership roles, with a strong focus on data platforms, ELT/ETL frameworks, and data engineering solutions.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting ELT/ETL frameworks and data engineering solutions.
• 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 managing enterprise data platform operations.
• Strong working experience in end-to-end development of ETL frameworks and data engineering solutions for data lakes and data warehouses.
• Strong working experience in Azure Data services, preferably Microsoft Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.