Datafold

Forward Deployed Data Engineer - US

Datafold United States · $155K–$200K/yr

Data Infrastructure and Analytics · 11-50 employees

19 h ago
Remote data-engineer Senior (5-10 yrs) Full-time United States
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About the role

Own and manage 1–4 concurrent data platform migration projects end-to-end, including scoping, planning, and execution. Serve as the primary customer contact to manage expectations, provide weekly updates, and ensure timely delivery using AI-automated tooling.

What they look for

Data engineering AI Project leadership Dbt Snowflake Databricks Orchestration tools Stored procedures Streaming Incremental processing ETL Data migration Stakeholder management Technical design Communication

Requirements

Requires 3–6 years of experience in data consulting, professional services, or customer-facing data engineering. Candidates must have a strong grasp of the modern data stack and experience with data platform migration projects.

Benefits

Competitive salary Equity

Full description

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

Compensation

  • Competitive salary + equity

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.

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