Job Search and Career Advice Platform

Enable job alerts via email!

Platform Architect for AI & GenAI Data Platform

Equinix

Singapore

On-site

SGD 95,000 - 130,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A global digital infrastructure company in Singapore is seeking a Staff Platform Engineer with expertise in data architecture, distributed systems, and cloud-native platforms. The ideal candidate will design and maintain intelligent infrastructure while collaborating with data scientists and engineering teams. Responsibilities include developing scalable data pipelines, managing multi-cloud platforms, and integrating AI technologies. This role offers a unique opportunity to drive innovation and enhance data capabilities across the organization.

Benefits

Competitive salary
Collaborative team environment
Opportunities for technical leadership

Qualifications

  • 5-8 years of hands-on experience in Platform or Data Engineering, Cloud Architecture, AI Engineering roles.
  • Strong programming background in Java, Python, SQL, and one or more general-purpose languages.
  • Deep knowledge of data modeling, distributed systems, and API design in production environments.

Responsibilities

  • Develop and maintain real-time and batch data pipelines using tools like Airflow, dbt, Dataform.
  • Design and develop event-driven architectures using Apache Kafka or equivalent messaging systems.
  • Build and expose high-performance data APIs and microservices.

Skills

Platform Engineering
Data Engineering
Cloud Architecture
AI Engineering
Java
Python
SQL
Kubernetes
Kafka
Terraform

Tools

Airflow
Google Cloud Platform
AWS
Azure
Prometheus
Grafana
MLFlow
Vertex AI
Job description
A global digital infrastructure company in Singapore is seeking a Staff Platform Engineer with expertise in data architecture, distributed systems, and cloud-native platforms. The ideal candidate will design and maintain intelligent infrastructure while collaborating with data scientists and engineering teams. Responsibilities include developing scalable data pipelines, managing multi-cloud platforms, and integrating AI technologies. This role offers a unique opportunity to drive innovation and enhance data capabilities across the organization.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.