Must-Have

- Streaming: Kinesis Data Streams / Firehose, MSK Serverless.
- TaskFlow API, XComs, dynamic task mapping, task groups y assets.

Nice-to-Have

- Welcome kit.
- Healthy Break.

Disclaimer – Lectura obligatoria: Compromiso y dedicación Este rol requiere dedicación full-time, con prioridad clara sobre los proyectos de Darwoft durante el horario laboral establecido. No es compatible con otros compromisos profesionales full-time. Cualquier actividad profesional adicional deberá ser informada previamente y no deberá interferir con las responsabilidades del rol.

Sobre Darwoft

En Darwoft desarrollamos soluciones de software que generan impacto real. Somos una empresa de desarrollo de software a medida y staff augmentation IT, con presencia en Estados Unidos, Argentina y Colombia. Trabajamos junto a clientes internacionales diseñando y construyendo soluciones digitales de alta calidad, generando relaciones de largo plazo basadas en la confianza, la excelencia técnica y una mentalidad people-first. Nuestro crecimiento está impulsado por la ejecución sólida, conexiones significativas y un profundo entendimiento de los desafíos de negocio de nuestros clientes.

DataOps / Data Platform Engineer Senior | Contractor LATAM

Información General

- Ubicación: Argentina
- Tipo de contrato: Relación de Dependencia
- Industria / Proyecto: Servicios Financieros / Transformación de Plataforma de Datos & AI

Sobre el Rol / About the Role

Estamos acompañando a una destacada compañía de escala masiva que se encuentra rediseñando su plataforma de datos y AI para potenciar su impacto en millones de usuarios. El contexto del proyecto combina la convivencia con una plataforma en proceso de saneamiento con la construcción de soluciones estructurales de fondo.

Buscamos un/a DataOps / Data Platform Engineer Senior con mentalidad crítica para desafiar el status quo técnico, proponer mejoras estructurales y justificar arquitecturas con criterio propio. En este contexto, no existe una separación rígida entre tareas estratégicas y operativas: el valor del perfil radica en involucrarse a nivel hands‑on en el código, la consola y la estabilización progresiva del sistema mientras se implementan las bases definitivas de la plataforma.

Responsabilidades / Responsibilities

- Diseñar, desarrollar y evolucionar componentes críticos de la nueva plataforma de datos y AI basada en AWS, Snowflake y Python.
- Liderar técnicamente iniciativas de arquitectura y automatización, asegurando un ciclo completo desde el análisis profundo y la ejecución hands‑on hasta su puesta en producción.
- Evaluar y desafiar soluciones existentes, proponiendo activamente mejoras de arquitectura sustentadas en fundamentos técnicos sólidos.
- Diseñar e implementar estrategias integrales de gobierno del dato, seguridad y gestión granular de accesos mediante AWS Lake Formation, políticas de IAM y roles.
- Definir e implementar estándares de ingeniería, frameworks reutilizables y buenas prácticas transversales a toda la organización.
- Garantizar la observabilidad, performance y escalabilidad de los pipelines y servicios de datos.
- Colaborar con equipos multidisciplinarios (Data Engineering, MLOps, Analytics Engineering, Seguridad y Arquitectura) alineando requerimientos técnicos con objetivos de negocio.
- Participar activamente en tareas operativas y de mantenimiento de plataforma (gestión de permisos, roles, resolución de incidentes y tuning de procesos), utilizándolas como insumo directo para evitar problemas recurrentes.
- Brindar mentoring técnico al equipo y compartir conocimiento con la comunidad interna de Data & AI.

Requisitos / Requirements

Must-Have

- +5 años de experiencia hands‑on reciente desarrollando y operando soluciones de datos en entornos cloud productivos y de alta exigencia.
- Ecosistema AWS enfocado en datos: dominio profundo y criterio de uso para servicios clave como S3, AWS Glue, AWS Lambda, Step Functions, DynamoDB, así como herramientas de gobernanza y control de accesos (AWS Lake Formation e IAM).
- Python para Data Engineering: nivel avanzado en el desarrollo de pipelines limpios, scripts de automatización, librerías orientadas a datos y testing.
- Snowflake: experiencia práctica en ingesta, modelado analítico y optimización de performance y costos.
- Orquestación: experiencia sólida gestionando flujos productivos complejos (Airflow o Step Functions), con foco en manejo de dependencias, paralelismo y reprocesos.
- DevOps y Automatización: experiencia demostrable en Infraestructura como Código (Terraform o CloudFormation) y pipelines de CI/CD (GitLab).
- Autonomía y criterio técnico senior: capacidad para articular y defender decisiones de diseño, evaluar trade‑offs entre arquitecturas y operar las herramientas core sin depender de un onboarding técnico extenso.
- Mentalidad de ownership,



product thinking y alta orientación a la resolución colaborativa de problemas operativos.

Nice-to-Have

- Conocimientos generales en plataformas cloud adicionales como GCP o Microsoft Azure.
- Experiencia en plataformas de datos de escala masiva en el sector financiero o fintech.

Qué ofrecemos / What We Offer

- Contratación en relación de dependencia, con remuneración en ARS.
- Modalidad de trabajo remota o Mixta.
- Salarios competitivos.
- Vacaciones y licencias según legislación vigente.
- Días personales adicionales por año.
- Acceso a plataformas de capacitación.
- Tarjeta de beneficios y descuentos.
- Welcome kit.
- Programas de reintegros.
- Clases de inglés.
- Programa de referidos.
- Regalo de cumpleaños.
- Healthy Break.
- Celebraciones, aniversarios y actividades de integración.

Location: LATAM

Work Model: 100% Remote

Project: Identity Security / Cybersecurity Platform

Seniority: Senior

Engagement: Full-time

143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM

- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- English Level: B2 / C1
- Engagement: Full-time

Get to Know Darwoft

At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.

We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset. We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.

About the Project

We are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform.

The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments.

At the core of the platform is a highly data‑intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals. This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.

The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.

About the Role

We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.

This is not a traditional backend or internal data engineering position.

You’ll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.

You’ll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting.

A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time‑to‑production.

What You'll Be Doing

- 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 their environments, data flows, APIs, security requirements, and integration constraints.
- Participate in technical onboarding processes, from initial discovery and architecture design through 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.
- Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
- Contribute technical insights from real‑world implementations to the product roadmap.
- Support production adoption and continuously improve time‑to‑value for enterprise customers.
- Participate in occasional customer‑facing technical sessions and, when necessary, onsite engagements.

What You Bring

- 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
- Strong software development experience with:
- Python
- 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 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 designing reliable, scalable, and production‑ready distributed systems.
- Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
- Experience working directly with customers, stakeholders, or technical partners.
- Ability to translate complex customer requirements into pragmatic technical solutions.
- Strong communication skills and the ability to operate effectively in customer‑facing technical conversations.
- High degree of autonomy and ownership when solving ambiguous technical problems.

Highly Relevant Experience

Experience with any of the following will be especially valuable:

- Identity and Access Management (IAM)
- Identity Providers (IdPs)
- Identity Security
- Cybersecurity platforms
- SIEM systems
- Security telemetry
- Network security
- Endpoint security
- SASE / Zero Trust environments
- Cloud security
- Large‑scale event processing
- Streaming architectures

Integration Experience

Previous experience integrating APIs or data from platforms such as the following is highly valuable:

- AWS
- Microsoft Azure
- Google Cloud
- Microsoft Entra ID / Active Directory
- Okta
- Google Workspace
- Duo
- CrowdStrike
- Zscaler
- Palo Alto
- Microsoft Defender
- SIEM and security analytics platforms

Direct experience with every platform is not required. What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.

Nice to Have

- Experience with large‑scale data processing or streaming platforms.
- Experience designing reusable connector SDKs or integration frameworks.
- Understanding of identity‑related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non‑human identities.
- Experience with security events, audit logs, network telemetry, or cloud activity data.
- Familiarity with event‑driven and distributed system architectures.
- Experience deploying AI/ML‑enabled applications.
- Exposure to LLMs, AI agents, or AI‑powered security applications.
- Solution Architecture or Forward Deployed Engineering experience.
- Previous experience in cybersecurity startups or high‑growth SaaS environments.

What Success Looks Like

Success in this role will be measured by your ability to:

- Deliver successful enterprise integrations and deployments.
- Reduce customer time‑to‑production.
- Build reliable and scalable ingestion solutions.
- Improve customer adoption and technical satisfaction.
- Resolve complex integration challenges efficiently.
- Turn customer‑specific requirements into reusable platform capabilities.
- Contribute improvements that strengthen the scalability and flexibility of the core product.

What Darwoft Offers

- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms

Explore this and other opportunities at:

- Location: Anywhere in LATAM
- Work Model: 100% Remote
- Engagement: Full‑time Contractor
- Payment: USD
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior

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