Senior Data Ingestion Architect - Remote LATAM

Maxit Consulting - Max Corporate Group; La Pampa; A distancia; ARS 182.877.000 - 274.315.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team. This role is not a traditional backend position and requires close collaboration with customers to design scalable ingestion solutions.

You will work with Python and/or Go, build connectors, and deploy across AWS, Azure, and GCP in a 100% remote LATAM setup, delivering reliable data flows and high-value outcomes.

Formación

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Strong software development experience in Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.

Responsabilidades

• 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 from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering 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 complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

CI/CD

Cloud platforms

Git workflows

Security

Customer-facing

Herramientas

Docker

Kubernetes

Git

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team. This role is not a traditional backend position and requires close collaboration with customers to design scalable ingestion solutions.

You will work with Python and/or Go, build connectors, and deploy across AWS, Azure, and GCP in a 100% remote LATAM setup, delivering reliable data flows and high-value outcomes.