Remote Senior Data Ingestion Architect — Cloud & Kubernetes

Encora Inc.; La Pampa; Remote; ARS 146,052,000 - 250,374,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our identity security project. You will work as a bridge between enterprise customers and engineering, designing scalable ingestion pipelines and connectors for complex data sources in a cloud environment.

In this remote LATAM role, you will use Python and Go, build REST APIs, and collaborate with architects, sales, and CSM teams to deliver reliable, secure data flows and fast

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience working directly with customers and translating requirements into technical solutions.

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, 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 for storage, transformation, querying, and analysis of high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across layers.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL/NoSQL

Customer-facing

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our identity security project. You will work as a bridge between enterprise customers and engineering, designing scalable ingestion pipelines and connectors for complex data sources in a cloud environment.

In this remote LATAM role, you will use Python and Go, build REST APIs, and collaborate with architects, sales, and CSM teams to deliver reliable, secure data flows and fast