Forward Deployed Data Engineer, Datafold
€85-135k
+ Equity
Quality assurance & monitoring platform for data engineers
Open for applications
Quality assurance & monitoring platform for data engineers
21-100 employees
Open for applications
€85-135k
+ Equity
21-100 employees
Company mission
To ensure that no data engineer faces sleepless nights worrying about a hotfix that broke the data or cost their company millions.
Role
Who you are
- 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
What the job involves
- 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
Our take
Data engineering has gone from a buzzword to a mission-critical function in a modern company - that’s resulted in a $2bn data reliability industry that will only continue to grow.
Datafold meets this pressing need with a suite of tools that tackle the most tedious, error-prone and repetitive tasks faced by data engineers. That is, unlike most existing data quality tools, Datafold catches data quality issues before they occur, not once the companies’ services have broken down.
The company is focused on expanding its toolset and enabling even more seamless integrations to onboard more customers. The goal is to be seen as part of a package alongside leading vendors like Snowflake, Databricks, bdt, etc.
Datafold’s product has received praise from enterprise leaders in this emerging field, but the company is facing competition from other venture-backed startups going after the same market. Some, from the ground up, with open-source tools like Great Expectations. Fortunately, there’s room for all to grow for now.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
May 2025
$4m
EARLY VC
Nov 2021
$20m
SERIES A
Total funding: $26.3m
Company benefits
- Unlimited PTO
- Co-working budget
- Home office budget
- Flexible working hours
- Parental leave
Company HQ
Chelsea, New York, NY
Leadership
Gleb Mezhanskiy
(Founder & CEO)Data engineering veteran having been a founding member of Data teams at Autodesk & Lyft and Head of Product at Phantom Auto. Moved from Russia to earn a Master of Information Systems Management at Carnegie Mellon University.
Alex Morozov
(CTO)Held CTO positions at several startups and technology companies. Have also continuously worked as a Senior Scientist at the Russian Research Center "Kurchatov Institute" for two decades.
Share this job
View 2 more jobs at Datafold