---
title: 'Forward Deployed Data Engineer - US at Datafold'
canonical: 'https://feeny.ai/job/forward-deployed-data-engineer-us-datafold-united-states-rwmvz98mme1k'
type: 'job'
last_seen: '2026-09-14'
---

# Forward Deployed Data Engineer - US at Datafold

- **Company:** Datafold
- **Location:** United States
- **Compensation:** $155k–$200k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/datafold/21cad7b8-546a-40a1-9a37-cde266201821

## 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

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.

## About Datafold

## Company Overview
- **One-liner**: Datafold is the AI-powered data engineering automation platform that helps data teams validate, migrate, and optimize data pipelines by combining specialized AI agents with a comprehensive data knowledge graph.
- **Entity Type**: Private (Startup; raised $26.2M total; Y Combinator Summer 2020)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Gleb Mezhanskiy (CEO) and Alex Morozov

## Core Business
- **Primary industry/industries**: Data Infrastructure and Analytics
- **Target customers**: B2B – data teams at companies of all sizes, from mid-market to enterprise (e.g., Patreon, Thumbtack, Substack, AngelList, Disney, Perplexity)
- **Mission or purpose statement**: “Empower data and analytics engineers” / “Automate the most complex parts of data engineering: migrations, optimization, CI/CD, and data quality.”

## Products & Services
Datafold offers an AI-powered platform with the following key offerings:

- **Data Knowledge Graph**: A context layer that surfaces lineage, business logic, usage, ontology, and organizational knowledge. Served via MCP (Model Context Protocol) to make AI coding agents reliable.
- **Data Diff and Monitoring (MCP)**: Automated data validation and reconciliation across data sources, exposed via MCP so coding agents can validate their own work and debug production issues.
- **Migration Agent**: AI-powered code translation combined with automated data validation, delivered as a service. Lift-and-shift or modernize pipelines with guaranteed price, timeline, and quality.
- **Optimization & Code Review Agents**: Specialized agents for data pipeline optimization, code reviews, and day-to-day tasks integrated into CI/CD and IDEs.
- **Governed LLM Inference**: Supports LLM inference endpoints approved by security/IT (AWS, GCP, Azure, Snowflake, Databricks) within customer VPCs.
- **Deployment**: Single-tenant / VPC deployment on AWS, GCP, or Azure; SOC 2 & HIPAA compliant.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue of **$4.5M** (estimated, per LinkedIn) and total funding of **$26.2M**
- **Notable Investors/Partners**: Y Combinator, NEA (New Enterprise Associates), Amplify Partners. Customers include Perplexity, Disney, Patreon, Thumbtack, Substack, AngelList.
- **Growth Signals**: 
  - Recent venture round of $4.0M in June 2025
  - Headquartered in New York with remote team across 7 countries (US, Germany, UK, Netherlands, Romania, France, Cyprus)
  - LinkedIn followers: 6,635 (growing ~0.7% monthly)
  - Talent drawn from top tech companies (Weights & Biases, Deliveroo, Zalando, Datadog alumni)
  - Team size ~18 employees on LinkedIn, 30 listed on Y Combinator profile

## Competitive Advantages
- **AI-first automation**: Combines specialized AI agents with a Data Knowledge Graph that provides deep context, enabling reliable code generation and migration.
- **Shift-left approach to data quality**: Inserts validation tools into existing workflows (CI/CD, IDEs) rather than adding a separate monitoring app.
- **Comprehensive context layer**: The Data Knowledge Graph captures lineage, business logic, and organizational knowledge – a moat that makes agents far more accurate.
- **Security & compliance**: SOC 2, HIPAA, single-tenant VPC deployment, and governed LLM inference, appealing to enterprise customers.
- **Proven outcomes**: Guaranteed price, timeline, and quality for migration projects (contractual SLAs).

## Strategic Focus
Datafold is focused on expanding its AI agent capabilities for data engineering, particularly in:
- Automating large-scale data platform migrations (e.g., cloud migrations, code translation)
- Building deeper integrations with AI coding agents (via MCP) to become the standard context layer
- Increasing adoption among enterprise data teams through security and compliance features
- Growing the global remote team and scaling go-to-market with a partnerships lead

## Why Work Here
- **Culture**: Asynchronous-first, remote work culture with global team spanning US and Europe. Values include “extreme ownership,” “ship early and often,” “empower others,” and “contribution to success.”
- **Work location**: Fully 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). Office optional in New York.
- **Compensation**: Competitive salaries ($110K – $200K range per YC) plus equity (0.10% – 0.20%). 
- **Engineering culture**: Small, impact-driven team where engineers own their craft and work on cutting-edge AI + data infrastructure. Tools like MCP, LLMs, and data diffing are core.
- **Perks**: “All-remote team of global data lovers,” async communication, high autonomy.

## Sources
1. [datafold.com](https://www.datafold.com/)
2. [datafold.com/about/](https://www.datafold.com/about/)
3. [ycombinator.com/companies/datafold](https://www.ycombinator.com/companies/datafold)
4. [linkedin.com/company/datafold](https://www.linkedin.com/company/datafold)

## Other roles at Datafold

- [Forward Deployed Data Engineer - Latin America](https://feeny.ai/job/forward-deployed-data-engineer-latin-america-datafold-south-d2r7v93javv0) — South, United States
- [Forward Deployed Data Engineer - EU](https://feeny.ai/job/forward-deployed-data-engineer-eu-datafold-europe-am3wy37ymvcx) — Europe