Forward Deployed Data Engineer

Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.

We partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.

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.

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.

What You'll Do

• 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

What We'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