Datafold is the data engineering automation platform, delivering large-scale data engineering projects with AI. They are seeking a Forward Deployed Data Engineer to own the delivery of AI-automated data platform migration projects, managing execution and ensuring timely delivery.
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
- Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus