Data Architect

**Date**:9 Nov 2024

**Location**: UNIV ADMIN, Kent Ridge Campus, SG

**Company**:National University of Singapore

**About NUS IT**:
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 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.

NUS IT is the IT department of NUS, we develop solutions that are used by students, staff, as well as other visitors that serve to further NUS education needs and vision.
We are seeking an experienced Data Architect to oversee technical data architecture in NUS.
The role will manage the technical architecture of our data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle.

**Duties and Responsibilities**:
**Data Platform Technical Architecture**
- Create, manage, and document optimal data pipeline architecture.
- Understand technical architecture of data related platforms and provide advisory to other teams.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from data sources.
- Create, manage, and document data pipelines in the data pipeline solution and keep them in line with business needs.

**Data Solutions Architecture**
- Design the solution for a modern data platform, including aspects like master data management, data lakehouse, data pipelines.
- Design best practices for data related implementations.
- Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.

**Technical Expertise**
- Stay updated about of emerging technologies and industry trends in order to drive innovation within our organization.

**Organizational Collaboration**
- Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
- Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
- Provide direction and guidance to teams (both inside and outside of NUS IT) on working with the data platform.
- Collaborate with university departments on any technical solutioning required to support data platform requirements.

**Qualifications**:

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 8 years of experience with a focus on data platforms architecture and engineering.
- Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
- Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
- 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 projects in data projects 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.
- Working experience in Azure cloud.
- Strong working experience in Azure Fabric - specifically Data Factory, Data Engineering, OneLake (Data Lake Storage) and Data Warehouse.
- Good working experience knowledge of master data management.
- Working experience in big data and DataSecOps is an added advantage.
- Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.

**More Information**:
Location: Kent Ridge Campus

Organization: NUS Information Technology

Department : Applications - Applications Architecture & Technology

Employee Referral Eligible: Yes

Job requisition ID : 26934