Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Associate-Architect/32751-en_GB/

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We 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 to 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.

https://nusit.nus.edu.sg/

Job Description

We are looking for a Data Engineering Lead to design, build, and scale robust data platforms and pipelines. You will lead and guide a team of data engineers to deliver reliable, secure, and high-quality data systems that support analytics, AI, and application consumption.

Duties and Responsibilities

Team Leadership

Lead, mentor, and grow a team of data engineers
Drive agile delivery, conduct code reviews, and promote engineering best practices
Collaborate with data product teams and stakeholders to prioritize initiatives

Technical Leadership

Design end-to-end data engineering solutions
Provide technical leadership to solve complex engineering challenges
Ensure strong data quality, reliability, and observability across pipelines
Stay current with emerging technologies to drive continuous improvement and innovation
Lead the adoption of AI-assisted engineering practices across the development lifecycle
Drive the use of AI tools (e.g., copilots, agents) to enhance engineering productivity and quality

Data Engineering

Build and maintain data pipelines and consumption layers (e.g., APIs, databases)
Develop and manage data lakehouses and data warehouses
Implement streaming and real-time data solutions where required
Enable data readiness for model training, feature engineering, and inference workflows
Apply AI-driven data engineering practices in day-to-day development
Use AI to generate data engineering artifacts and automate workflows from requirements to production-ready outputs

Quality Assurance & Governance

Establish testing and quality control practices to ensure reliable data delivery
Ensure alignment with university regulatory and compliance requirements

Qualifications

Must Have

Previous technical lead experience
Strong experience with cloud data platforms
Proficiency in Python with strong SQL skills
Experience with distributed data processing (e.g., Spark)
Hands-on experience with data orchestration tools
Hands-on experience with data quality practices (testing, validation, and monitoring)
Experience with AI-driven data engineering lifecycle practices
Experience using AI tools (e.g., copilots, agents) to enhance engineering productivity and quality
Experience supporting data pipelines for analytics and/or AI/ML use cases
Solid understanding of data modelling and data warehousing concepts
Proven ability in system design, architecture, and leading engineering teams
Strong problem-solving and critical thinking skills
Strong verbal, written, and stakeholder communication skills

Nice to Have

12+ years of experience in data engineering or related data roles
Experience with enterprise and open-source data platforms (e.g., Microsoft Fabric, Databricks, Informatica, Apache Spark, Trino, ClickHouse, DuckDB)
Experience with CI/CD practices for data pipelines
Exposure to real-time/streaming and event-driven architectures

Associate Architect