Staff Data Platform Engineer (Cloud & AI Pipelines)

Platform&Co Pte. Ltd.; United States; Remote; USD 141,000 - 188,000; Full time

Job summary

Platform&Co Pte. Ltd. in Singapore seeks a senior data platform engineer to design and implement large-scale data processing pipelines for a cloud-native data platform.

You will establish reusable architecture patterns for low-latency analytics and develop REST/gRPC APIs and AI-driven interfaces to enable efficient data interaction. The role emphasizes reliability, scalability, and cost efficiency of the platform, with workload orchestration, monitoring, and optimization.

Qualifications

• Degree in Computer Science, Computer Engineering, Mathematics, or related field.
• Proven experience designing, delivering large-scale data-intensive cloud software (AWS/Azure/GCP).
• Strong hands-on with Docker, Kubernetes, CI/CD, and modern data architectures.

Responsibilities

• Design and implement large-scale data processing pipelines across a cloud-native platform.
• Establish reusable patterns for low-latency data analysis at scale.
• Design REST/gRPC APIs and AI-driven interfaces for efficient data use.
• Own platform reliability, scalability, and cost efficiency including monitoring and optimization.
• Build systems supporting millions of concurrent workloads with strong fault tolerance and observability.
• Collaborate with cloud infra, engineering, product teams to translate requirements into scalable architectures.
• Transition innovative concepts into production-grade software solutions.
• Set technical direction via architecture reviews, mentoring, and rapid prototyping.
• Work with globally distributed teams and maintain a customer-focused approach to product development.

Skills

Cloud data platforms

Docker

Kubernetes

Spark

Python

C/C++

Delta Lake

APIs (REST/gRPC)

Education

Bachelor's degree in CS/CE/Math

Master's degree or PhD preferred

Tools

Apache Iceberg

Delta Lake

DuckDB

Velox

Job description

Platform&Co Pte. Ltd. in Singapore seeks a senior data platform engineer to design and implement large-scale data processing pipelines for a cloud-native data platform.

You will establish reusable architecture patterns for low-latency analytics and develop REST/gRPC APIs and AI-driven interfaces to enable efficient data interaction. The role emphasizes reliability, scalability, and cost efficiency of the platform, with workload orchestration, monitoring, and optimization.