Senior Data Platform Engineer for AI & Analytics

Singapore Institute of Technology; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Singapore Institute of Technology seeks a Senior IT Consultant (Data Platform) to design, build, and operate a university-wide data platform. You will own production reliability, translate education requirements into data products, and collaborate with data owners, analysts, and security teams to ensure trusted, governed data for BI, analytics, and AI use cases.

You will lead end-to-end delivery of data pipelines, models, and governance, while continuously improving platform performance and

Qualifications

• Degree in Computer Science, Information Technology, Data Science, or a related discipline.
• 8+ years of data‑engineering or data‑platform experience with production solutions.
• Experience delivering cloud data warehouses, lakehouses, or similar architectures.
• Strong SQL and Python skills, and distributed processing experience.

Responsibilities

• Design, build, and evolve scalable data lakes, warehouses, and lakehouses for structured, semi-structured, and unstructured data.
• Design reference architectures, data contracts, and self‑service capabilities from source onboarding to consumption.
• Engineer secure storage, compute, and access layers for BI, analytics, and AI workloads.
• Design, build, test, and maintain production pipelines (batch, real‑time, CDC) and reusable connectors.
• Lead data platform delivery from requirements to production adoption and support.

Skills

SQL

Python

Data platforms

Data modeling

ETL/ELT pipelines

CI/CD

Spark

Stakeholder comms

Education

Bachelor's in CS/IT/Data Science

Tools

Git

Airflow

Spark

Job description

Singapore Institute of Technology seeks a Senior IT Consultant (Data Platform) to design, build, and operate a university-wide data platform. You will own production reliability, translate education requirements into data products, and collaborate with data owners, analysts, and security teams to ensure trusted, governed data for BI, analytics, and AI use cases.

You will lead end-to-end delivery of data pipelines, models, and governance, while continuously improving platform performance and