DataOps Engineer (Python/AWS/Snowflake)

Darwoft; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Darwoft is seeking a senior data platform engineer to help rebuild and stabilize a large-scale data and AI platform for a financial services product. The role blends day‑to‑day platform operations with longer‑term architecture, using Python, AWS, and Snowflake.

You will design core components, troubleshoot issues during cleanup, and implement durable foundations while informing architectural decisions. The candidate should move fluidly between operational work and system design, within a fully

Qualifications

• Senior‑level experience in data platform or DataOps engineering.
• Hands‑on experience with Python, AWS and Snowflake in data/AI contexts.
• Ability to switch between troubleshooting and system design.
• Strong judgment to defend architectural decisions.

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.

Skills

Python

AWS

Snowflake

DataOps

Data platform design

Job description

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.
• Practicalexperience 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 rolebasedinArgentina, with a remote setup.
• The project focusesonfinancialservicesanddata and AI platform transformation.