Senior Java Architect (with AWS and Snowflake)

Straive; Taguig; On-site; PHP 1,800,000 - 2,800,000; Full time

Job summary

Straive is seeking a Senior Java Architect to design, build, and operate production-grade software and data solutions end-to-end, from architecture through deployment and monitoring.

You will design data pipelines on AWS and Snowflake, curate datasets for performance, and apply strong engineering practices including CI/CD, testing, and security. Collaborate with stakeholders to enable advanced analytics and AI use cases while owning deployment and production operations.

Qualifications

• Design and build production-grade software and data solutions end-to-end.
• Strong experience with AWS and Snowflake data platforms.
• Apply solid engineering practices: clean code, modular design, automated testing, CI/CD, observability, secure development.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end.
• Design and implement reliable, scalable data pipelines and data products using AWS and Snowflake.
• Model, curate, and optimise Snowflake datasets and schemas for performance and usability.
• Apply engineering practices including testing, CI/CD, observability, and security.
• Collaborate with stakeholders to translate requirements into robust data solutions and enable analytics/AI use cases.

Skills

Java

AWS

Snowflake

Data pipelines

CI/CD

AI use cases

Job description

Senior Java Architect (with 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.