Snowflake Engineer

Ascendion; Philippines; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Ascendion is seeking a hands-on senior solution engineer to design, build, and operate robust cloud-native data and AI solutions. The ideal candidate combines strong software engineering fundamentals with deep practical experience in AWS and Snowflake.

You will design end-to-end data pipelines, optimise Snowflake datasets, implement CI/CD, and collaborate with stakeholders to enable advanced analytics and AI use cases. Expect a fast-paced, impact-driven role with production-scale challenges.

Qualifications

• Hands-on senior engineer with cloud-native data and AI experience.
• Strong software engineering fundamentals and architectural sense.
• Deep experience with AWS and Snowflake in production environments.

Responsibilities

• Design, build, and operate production-grade data and AI solutions end-to-end.
• Create reliable, scalable data pipelines using AWS and Snowflake.
• Model and optimise Snowflake datasets for performance and usability.
• Apply clean code, modular design, automated tests, and CI/CD.
• Collaborate with stakeholders to enable analytics and AI use cases.
• Use AI-assisted engineering to accelerate development while maintaining quality.
• Develop cloud-native integrations and deployments on AWS.
• Own deployment, release, and production operations with incident handling.

Skills

Cloud-native data engineering

Software engineering fundamentals

End-to-end system design

Tools

AWS

Snowflake

CI/CD

Observability

Job description

We are looking for a hands‑on senior solution engineer who can design, build, and operate robust cloud-native data and AI solutions. The ideal candidate combines strong software engineering fundamentals with deep practical experience in AWS and Snowflake.

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 optimise 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, prioritise 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.