Senior Data Ingestion Architect – Remote LATAM

Epam Systems Inc; Municipio de Rincón de los Sauces; Remote; ARS 139,312,000 - 201,229,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering team. You will design scalable ingestion pipelines, work with diverse data sources, and implement reliable connectors in a cloud-centric environment.

You will combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting to ensure secure, scalable data flows.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong 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 major cloud platforms: AWS, Azure, GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

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, and SIEM systems.
• Work directly with enterprise customers to understand environments and integration constraints.
• Participate in onboarding, discovery, architecture design, and production deployment.
• Design scalable ingestion architectures for processing security events, logs, and identity activity.
• 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 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 deployment issues across multiple layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with cross-functional teams and act as a trusted technical advisor.

Skills

Python

Go

REST APIs

Data ingestion

Enterprise integration

SQL

NoSQL

Cloud platforms

Docker

Kubernetes

CI/CD

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering team. You will design scalable ingestion pipelines, work with diverse data sources, and implement reliable connectors in a cloud-centric environment.

You will combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting to ensure secure, scalable data flows.