Datafold Forward Deployed Data Engineer at Datafold owning AI-automated data platform migration projects end-to-end. Manage customer relationships and project execution using proprietary AI tooling.
Responsibilities
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.
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.
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
Qualification
3–6 years in data consultingStrong grasp of the modern data stack
Required
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
Preferred
Exposure to legacy data stack and patterns (ETL, stored procedures)
