Senior Solutions Engineer (Snowflake)

TEAM International; Taguig; Hybride; PHP 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Sports Allowance

Medical Allowance

Hybrid setup

Company devices provided

Global exposure

Résumé du poste

TEAM International is a global IT consulting and software development partner based in the Philippines, seeking a Senior Solutions Engineer to drive cloud, data, and AI-enabled delivery. You will lead data pipelines on Snowflake and AWS, collaborating with cross-functional teams across projects.

The role emphasizes hands-on engineering, learning mindset, and practical automation, with a hybrid work setup and flexible schedule. Open salary based on skills and assessment.

Qualifications

• Bachelor's or Master's in CS/SE/DS/AI or related field.
• Professional software/data/cloud engineering experience.
• Strong fundamentals: programming, APIs, testing, debugging.
• Hands-on Python and/or Java.
• Strong SQL and data modeling/pipelines.
• Advanced Snowflake experience: Dynamic Tables, micro-partitioning, pipelines.
• Hands-on AWS experience.
• Git, CI/CD, DevOps experience is a plus.
• Familiarity with AI-assisted development tools.
• Knowledge of AWS AI services and responsible AI is a plus.
• Understanding data security and governance.
• Strong problem-solving, collaboration, communication.

Responsabilités

• Design, develop, test, deploy, and enhance software and data solutions with senior engineers.
• Build, maintain, optimize Snowflake data pipelines on AWS.
• Develop Snowflake data solutions including Dynamic Tables and micro-partitioning.
• Support data ingestion, transformation, orchestration, and monitoring.
• Apply engineering best practices: clean code, modular design, automated testing, version control, docs.
• Collaborate with product owners and stakeholders to deliver solutions.
• Use AI-assisted tools to support coding, refactoring, documentation, testing.
• Develop cloud-native integrations and data workflows on AWS.
• Participate in deployments, releases, troubleshooting, and production support.
• Ensure data security, governance, and access controls.

Connaissances

Python

Java

SQL

Snowflake

AWS

Data pipelines

Problem solving

Collaboration

Communication

Formation

BSc/MSc in CS/SE/DS/AI

Outils

Snowflake

AWS

Git

CI/CD

DevOps

GitHub Copilot

Description du poste

We are hiring for a Senior Solutions Engineer to join our team!

Role Highlights:

• You must be willing to work as a B2B Independent Contractor. You will manage your own contributions and mandated benefits


• Work Setup is hybrid and required onsite is at least 2-3x weekly in BGC


• Working Schedule is Monday to Friday, flexible from morning to afternoon shift

What We Offer:

• Sports Allowance + Medical Allowance


• Hybrid Setup and Flexible Working Schedule from Monday to Friday


• Company Devices Provided


• Global exposure


• Salary is open and flexible depending on your technical skills based on the assessment of the hiring manager

About Us

We're a global IT consulting company and a software development service provider that helps organizations operate at their best. With 30+ years of experience, +6 Global locations, and +1000 employees, TEAM combines technology expertise, valuable insights, business intelligence, and a client-centered approach to address challenges in business operations, digital transformation, risk management, compliance, business continuity, and more.

To know more about what we do, you may visit our website at: https://www.teaminternational.com/en

About The Role

We are looking for a motivated Senior Solutions Engineer with a strong interest in cloud, data, software engineering, and AI-enabled delivery. The ideal candidate has solid technical fundamentals, a learning mindset, and the curiosity to grow hands-on skills in AWS, Snowflake, and modern engineering practices.

You will have the following responsibilities:

• Design, develop, test, deploy, and enhance software and data solutions, working closely with senior engineers and cross-functional teams.


• Build, maintain, and optimize data pipelines using Snowflake and AWS services, ensuring reliability, scalability, and performance.


• Develop and manage Snowflake data solutions, including Dynamic Tables, data models, schemas, transformations, and performance optimization techniques such as micro-partitioning.


• Support data ingestion, transformation, orchestration, and monitoring processes within Snowflake and AWS environments.


• Apply engineering best practices, including clean code, modular design, automated testing, version control, documentation, and maintainable implementations.


• Collaborate with product owners, business stakeholders, and technology teams to understand requirements and deliver high-quality solutions.


• Use AI-assisted engineering tools to support coding, refactoring, documentation, testing, debugging, and solution design.


• Develop and support cloud-native integrations, automation, and data workflows leveraging AWS services such as compute, storage, security, orchestration, and event-driven architectures.


• Participate in deployments, releases, troubleshooting, production support, peer code reviews, and continuous improvement activities.


• Ensure compliance with data security, governance, and access control standards when handling enterprise data assets.

You will have the following qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, or a related technical discipline.


• Professional experience in software engineering, data engineering, cloud engineering, or a related technical role.


• Strong understanding of software engineering fundamentals, including programming, APIs, testing, debugging, and maintainable code.


• Hands‑on experience with Python and/or Java.


• Strong SQL skills and experience with data modeling and data pipelines.


• Advanced Snowflake experience is required, including Dynamic Tables, micro‑partitioning, performance optimization, and building end‑to‑end data pipelines.


• Hands‑on experience with AWS cloud services is required.


• Experience with Git, CI/CD, DevOps practices, and automated testing is an advantage.


• Familiarity with AI‑assisted development tools such as GitHub Copilot, Claude, Cursor, or similar.


• Exposure to AWS AI services, Amazon Bedrock, RAG, agent‑based solutions, or responsible AI practices is a plus.


• Understanding of data security, governance, and access controls.


• Strong problem‑solving, collaboration, and communication skills.

Key Must Haves:

• Advanced Snowflake expertise.


• Experience with Snowflake Dynamic Tables and building data pipelines in Snowflake.