# Forward Deployed Data Engineer - US at Datafold

- Company: Datafold
- What the company does: Datafold is the data engineering automation platform. AI-powered migrations delivered in weeks with guaranteed outcomes, plus data quality tools for CI/CD testing, monitoring, and AI agent integrations via MCP. Backed by NEA, Y Combinator and Amplify.
- Company website: https://www.datafold.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: USA
- Work setup: Remote
- Pay: $155K to $200K base salary per year (USD)
- Posted: 2026-09-10
- Apply by: 2026-10-25
- Apply: https://jobs.ashbyhq.com/datafold/21cad7b8-546a-40a1-9a37-cde266201821
- Page: https://www.1752.vc/careers/jobs/datafold-forward-deployed-data-engineer-us/

## About the role

Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership. As a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.

## What they're looking for

- 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

Tags: Engineering