Описание

Datafold is hiring a Forward Deployed Data Engineer for Latin America/South America to own AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership. Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.

Responsibilities

Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff
Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound
Configure Datafold's Migration Agent and oversee the migration execution
Partner with Datafold's engineering team to execute migrations
Help refine and scale our product and delivery playbook as the team grows

Requirements

3–6 years in data consulting, professional services, or a customer-facing data engineering role
Excellent communication skills — equally comfortable in an exec check-in and a technical design session
Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)
Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told
AI power user — using AI every day and always learning and improving on how to use it more effectively

Nice to have

Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus