Senior Data Ingestion Architect | Remote (LATAM)

Pearster; Santa Fe Capital; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next‑gen Identity Security platform. You will engage with enterprise customers, design scalable ingestion pipelines, and bridge the gap between their data sources and the platform.

Join a distributed team delivering secure, data-intensive solutions across cloud environments. This role emphasizes autonomy, customer collaboration, and delivery of reliable data integrations in a 100% remote LATAM

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience
• Proven experience with Python and Go
• Experience designing REST APIs
• Experience building data ingestion pipelines and connectors
• Experience integrating complex enterprise systems and third‑party platforms
• Strong understanding of SQL and NoSQL databases
• Production experience with AWS, Azure or GCP
• Docker and Kubernetes experience
• Strong Git-based workflows and CI/CD practices
• Ability to translate customer requirements into pragmatic 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, and SIEM systems
• Work directly with enterprise customers to understand environments, data flows, security requirements, and integration constraints
• Participate in technical onboarding from discovery to deployment
• Design scalable ingestion architectures for high‑volume data sources such as security events and logs
• Build integrations using REST APIs, cloud 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 and analyze data
• Build and operate containerized services using Docker and Kubernetes
• Deploy and integrate solutions across AWS, Azure, and GCP
• Troubleshoot complex deployments across application, infra, network, API, and data layers
• Optimize ingestion performance, reliability, and scalability
• Collaborate with Solution Architects, Customer Success, Product, and Engineering
• Act as trusted advisor on data architecture, collection strategies, and security integrations
• Transform recurring requirements into reusable connectors and platform capabilities
• Contribute insights to product roadmap and time-to-value for customers
• Participate in customer-facing sessions and onsite engagements as needed

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next‑gen Identity Security platform. You will engage with enterprise customers, design scalable ingestion pipelines, and bridge the gap between their data sources and the platform.

Join a distributed team delivering secure, data-intensive solutions across cloud environments. This role emphasizes autonomy, customer collaboration, and delivery of reliable data integrations in a 100% remote LATAM