DataOps Engineer (Python/AWS/Snowflake)

Role overview Help rebuild and stabilize a large-scale data and AI platform for a financial services product. This senior, hands-on role spans day-to-day platform operations and longer-term architecture, with work across Python, AWS, and Snowflake.

Responsibilities - Design, build, and evolve core components of the data and AI platform. - Investigate and resolve issues in the existing platform while it is being cleaned up and improved. - Implement durable platform foundations alongside incremental stabilization work. - Assess technical choices, identify structural improvements, and explain architectural recommendations. - Work directly in code and cloud consoles to deliver and operate platform changes.

Requirements - Senior-level experience in data platform or DataOps engineering. - Practical experience building data solutions with Python, AWS, and Snowflake. - Ability to move between operational troubleshooting and system design. - Sound technical judgment and the ability to make and defend architecture decisions. - Full-time availability during agreed working hours; additional professional work must be disclosed and must not interfere with the role.

Benefits and work setup - Full-time role based in Argentina, with a remote setup. - The project focuses on financial services and data and AI platform transformation.