Senior Cloud Data & AI Engineer (Snowflake/AWS)

Ascendion

Philippines

On-site

PHP 1,200,000 - 2,400,000

Full time

16 hours ago
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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

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.

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