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Forward Deployed Data Engineer

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Onsite

Forward Deployed Data Engineer

Datafold

Forward Deployed Data Engineer

Skills

Data EngineeringSnowflakeDatabricksAIdbt

1 month ago

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Important information


Contract type:

Permanent

Salary:

$155,000 – $200,000 / year

Location:

United States

Work mode:

Onsite

Published on:

11 September 2026

What they need


  • 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

Benefits

  • Unlimited PTO
  • Co-working budget
  • Home office budget
  • Flexible working hours
  • Parental leave- Excellent communication skills — equally comfortable in an exec check-in and a technical design session
  • 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
  • 3–6 years in data consulting, professional services, or a customer-facing data engineering role
  • 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

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