Senior Cloud Data Solutions Engineer | AWS & Snowflake

SPI GLOBAL CONTENT HOLDING PTE. LTD.; Singapore; On-site; SGD 200,000 - 260,000; Full time

Job summary

SPI GLOBAL CONTENT HOLDING PTE. LTD. seeks an experienced Senior Software/Data Engineer to design and operate end-to-end data and software solutions. The role focuses on building scalable data pipelines on AWS and Snowflake, with strong emphasis on governance, performance, and security.

The candidate will drive implementation of data products, collaborate with business and technical stakeholders, and uphold robust engineering practices including testing, deployment, and observability.

Qualifications

• Bachelor's or Master's degree in CS/SE/Data Science/AI/ML or related field.
• 7+ years in hands-on software, solutions, or data engineering with production-grade delivery.
• Experience building and operating data products, cloud services, or AI-enabled solutions with measurable outcomes.
• Strong AWS experience across core services, security, orchestration, and monitoring; AWS certs preferred.
• Deep Snowflake experience: data modelling, SQL tuning, pipelines, governance; Snowflake certs a plus.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end.
• Develop reliable, scalable data pipelines and products using AWS and Snowflake.
• Model and optimize Snowflake datasets for enterprise use with high performance and quality.
• Apply software engineering best practices: clean code, testing, CI/CD, observability.
• Collaborate with stakeholders to translate requirements into robust data solutions.

Skills

AWS

Snowflake

Data engineering

Software engineering

CI/CD

Observability

AI/ML integration

Education

Bachelor's or Master's in CS/SE/Data Science/AI/ML

Tools

Snowflake

SQL

Python

AWS

Job description

SPI GLOBAL CONTENT HOLDING PTE. LTD. seeks an experienced Senior Software/Data Engineer to design and operate end-to-end data and software solutions. The role focuses on building scalable data pipelines on AWS and Snowflake, with strong emphasis on governance, performance, and security.

The candidate will drive implementation of data products, collaborate with business and technical stakeholders, and uphold robust engineering practices including testing, deployment, and observability.