Senior Solutions Engineer (Snowflake)

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:

• 23 PTO + Holiday Leaves
• Sports Allowance + Medical Allowance
• Hybrid Setup and Flexible Working Schedule from Monday to Friday
• Company Devices Provided
• Long term independent contractor engagement
• 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.
• AWS cloud experience.