100% Remote Full-time

English: Intermediate/Advanced (required — interviews conducted in English) | 9:00 AM – 5:00 PM UTC

CVs must be submitted in English

About the Role

Join the team supporting one of the world's largest automotive manufacturers, working within a general consulting firm to lead the planning and execution of a critical data migration program. You will coordinate cross-functional teams, define the migration approach and controls, and manage risks to ensure a smooth and reliable transition to the target system.

Responsibilities

- Lead the end-to-end planning and execution of data migration activities
- Ensure data is accurate, complete, and ready for use in the target system
- Coordinate cross-functional migration teams across workstreams
- Define the data migration approach, methodology and quality controls
- Identify, assess and manage migration risks and issues
- Ensure a smooth and reliable transition with minimal disruption
- Report migration status and progress to senior stakeholders

Required Skills

- Proven experience as a Data Migration Lead or Team Lead in large-scale enterprise programs
- Strong knowledge of data migration methodology : extraction, transformation, cleansing, validation and loading
- Experience coordinating cross-functional teams across multiple workstreams
- Ability to define migration controls and risk management strategies
- Experience working in S/4HANA or similar ERP migration programs (preferred)
- Intermediate to advanced English — interviews and daily work conducted in English
- Availability to work in UTC timezone (9:00 AM – 5:00 PM)

Hiring Process





- Collaborative environment with high-impact projects across leading industries
- Connectivity allowance
- Gym reimbursement
- PedidosYa credit
- Statutory vacation
- Health insurance: Swiss Medical or OSDE

- 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 r

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