Forward Deployed Data Engineer - US

Summary

Datafold is a data engineering automation platform delivering AI-automated data platform migration projects. The Forward Deployed Data Engineer will own customer-facing migration projects end-to-end, manage stakeholders and execution, configure migration tooling, and partner with engineering to deliver timely outcomes.

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

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• Offers Equity