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Forward Deployed Data Engineer - US

Datafold

Company websitedatafold.com (Datafold, opens in new tab)

Base salary $155K  to $200K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceRemote
  • Status at last checkSource accepting applications when checked
  • Last checked (3 min ago) · observed since

About this job

About Datafold

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

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.

Source: Datafold on Ashby · View original posting (opens in new tab)

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-09-10
Where this pay comes from

Location as the employer wrote it: USA (remote)

USD 155,000 – 200,000 · 1 YEAR · Salary · USA

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.