Forward Deployed Data Engineer - Latin America
About The Position
Datafold is seeking a Forward Deployed Data Engineer to lead the delivery of AI-automated data platform migration projects. This role involves significant customer interaction and sits at the nexus of data engineering, AI, and project management. The successful candidate will utilize Datafold's AI technology to manage migration projects from start to finish, develop a thorough understanding of client data platforms, oversee project execution, and proactively address any obstacles to ensure timely delivery. By leveraging proprietary AI tools, this role performs the work typically handled by a full team of consultants.
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 Haves
- Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
