Senior Solution Engineer - Java and Snowflake at SPI GLOBAL CONTENT HOLDING PTE. LTD.

SPI GLOBAL CONTENT HOLDING PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

SPI GLOBAL CONTENT HOLDING PTE. LTD. is seeking a Senior Solution Engineer to design, build, and operate production-grade data solutions on-site in Singapore, focusing on end-to-end data pipelines and Snowflake data modeling within AWS.

You will collaborate with stakeholders to translate requirements into robust data products, apply solid software engineering practices, and explore AI-enabled use cases while maintaining governance and reliability.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/ML, or related technical field.
• 7+ years of hands-on software engineering, solution engineering, or data engineering experience.
• Proven ability to build and operate data products, cloud services, or AI-enabled solutions with measurable business outcomes.
• Deep hands-on AWS experience with core services for compute, storage, networking, security, and serverless/event-driven architectures; AWS certs preferred.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
• Design and implement reliable, scalable, secure data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.
• Model, curate, and optimize Snowflake datasets, schemas, and data structures with enterprise standards for downstream consumers.
• Apply software engineering best practices, including clean code, modular design, automated testing, CI/CD, observability, and secure development.

Skills

Java

AWS

Snowflake

Data pipelines

CI/CD

Education

CS/Software Eng

Data Science/AI

Tools

Snowflake

AWS

SQL

Job description

Senior Solution Engineer - Java and Snowflake

SPI GLOBAL CONTENT HOLDING PTE. LTD. – Outram, S00, SG.

Position: Full time, on site.

This Full time on site position offers great opportunities for career growth.

Key Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
• Design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.
• Model, curate, and optimize Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.
• Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.
• Partner with business and technical stakeholders to translate requirements into robust data solutions, prioritize delivery, and identify opportunities to enable advanced analytics and AI use cases.
• Use AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.
• Build cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.
• Own deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.

Skills and Experience Required

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, or a related technical discipline.
• 7+ years of professional experience in a hands-on software engineering, solution engineering, or data engineering role, with a proven track record of delivering production-grade systems in enterprise environments.
• Demonstrated ability to build and operate data products, cloud services, or AI-enabled solutions with measurable business outcomes and clear operational ownership.
• Deep hands-on AWS experience is required, including practical knowledge of core services for compute, storage, networking, identity and access management, security, orchestration, monitoring, and serverless or event-driven architectures. AWS certification is preferred, ideally AWS Certified Solutions Architect – Associate, AWS Certified Data Engineer – Associate, or AWS Certified Machine Learning Engineer – Associate.
• Deep hands-on Snowflake experience is required, including data modelling, SQL performance tuning, pipeline integration, access control, cost/performance optimization, data sharing, and platform governance. SnowPro Core Certification or advanced Snowflake certifications are a plus.