Senior Data Ingestion & Integrations Architect - Remote

Opsarmy; Rosario; Remote; ARS 139,364,000 - 216,789,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

English classes

Argentina's public holidays

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our remote LATAM team. You will work directly with enterprise customers to understand data sources, security constraints, and workflows, then design scalable ingestion solutions in Python and Go.

You'll build and evolve connectors, leverage cloud platforms (AWS/Azure/GCP), Docker and Kubernetes, and ensure reliable, secure, and fast time-to-production data pipelines across complex

Qualifications

• 10+ years of professional software or data engineering experience.
• Strong Python and Go development experience.
• Proven ability to build data ingestion pipelines and connectors.
• Experience with enterprise data sources and cloud platforms.
• Experience working with customers is a plus.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot customer deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted advisor on data architecture, collection strategies, and security integrations.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Cloud platforms

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our remote LATAM team. You will work directly with enterprise customers to understand data sources, security constraints, and workflows, then design scalable ingestion solutions in Python and Go.

You'll build and evolve connectors, leverage cloud platforms (AWS/Azure/GCP), Docker and Kubernetes, and ensure reliable, secure, and fast time-to-production data pipelines across complex