SECTION I · THE BRIEF
Brief #41957Updated 21 AUG 2026REMOTEYcY COMBINATOR
Employbl Company Profile

Forward Deployed Data Engineer

Datafold builds tools for automating analytical data quality management. It helps companies extract more value from their analytical data by automating Data Engineering workflows like data quality monitoring. It also…

Location
Remote
Company size
20–50
Posted
1w ago
Via
Yc
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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Forward Deployed Data Engineer · Datafold

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Job title
Forward Deployed Data Engineer
Job location
New York, NY, US / Remote (US; NL; DE; AT; HR; PL; FI; EE; LV; LT; FR; GB; CY; BG; CZ; DK; GR; HU; RO; LU; MT; PT; ES; SK; SI; SE)
Job 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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Datafold headquarters

San Francisco, CA

Company size

2050 employees

Founded

2020

Total raised

$26,224,986

View company profile ↗

Funding rounds

  • Series Unknown$4M
  • Series A$20M
  • Seed$2.1M
  • Pre Seed$125K