Senior Data Ingestion Architect — Remote Cloud & Kubernetes

Encora Inc.; La Pampa; Remote; ARS 137,078,000 - 198,002,000; Full time

Benefits offered by this job

Contractor agreement with payment in

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on Data Ingestion and Integrations to serve as a bridge between enterprise customers and engineering. You will design scalable connectors and ingestion pipelines, working closely with clients on data sources, security requirements, and workflows.

This role blends data engineering, software engineering, solution architecture, and cloud infrastructure, with hands-on development in Python and Go, and containerized deployments on Docker/Kubernetes across

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development with Python and Go.
• Experience building data ingestion pipelines, connector frameworks, or integration platforms.
• Experience designing and consuming REST APIs and cloud deployments.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, security tools, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily with Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment and integration issues across 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.
• Identify recurring requirements and transform them into reusable connectors or platform improvements.
• Contribute insights to the product roadmap and support production adoption.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Git

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Darwoft seeks a Senior Data Engineer focused on Data Ingestion and Integrations to serve as a bridge between enterprise customers and engineering. You will design scalable connectors and ingestion pipelines, working closely with clients on data sources, security requirements, and workflows.

This role blends data engineering, software engineering, solution architecture, and cloud infrastructure, with hands-on development in Python and Go, and containerized deployments on Docker/Kubernetes across