Is the Forward Deployed Data Engineer - EU role remote?

It's hybrid — Datafold expects some on-site time in Europe.

How much experience is required?

3–6 years of relevant experience for this Forward Deployed Data Engineer - EU role.

Where is the role based?

Datafold is hiring for this position in Europe.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Data Engineering, Databricks, Snowflake, dbt.

What seniority level is this role?

Datafold targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Forward Deployed Data Engineer - EU role at Datafold.

Forward Deployed Data Engineer - EU at Datafold

Joblaze summary

The Forward Deployed Data Engineer at Datafold is responsible for managing the end-to-end delivery of AI-automated data platform migration projects, ensuring timely execution and effective communication with clients. This role requires a strong understanding of the modern data stack, including tools like dbt, Snowflake, and Databricks, along with excellent problem-solving and communication skills. Ideal candidates have 3-6 years of experience in data consulting or customer-facing engineering roles and possess a proactive ownership mentality. Datafold emphasizes a collaborative environment, leveraging AI to enhance project efficiency.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Datafold's career page.
Datafold has 2 other open roles including Forward Deployed Data Engineer - Latin America, Forward Deployed Data Engineer - US.
5144 active AI/ML roles on Joblaze right now.
451 active Snowflake roles on Joblaze right now.
314 active dbt roles on Joblaze right now.
Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends

Quick facts

Is the Forward Deployed Data Engineer - EU role remote?: It's hybrid — Datafold expects some on-site time in Europe.
How much experience is required?: 3–6 years of relevant experience for this Forward Deployed Data Engineer - EU role.
Where is the role based?: Datafold is hiring for this position in Europe.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Data Engineering, Databricks, Snowflake, dbt.
What seniority level is this role?: Datafold targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Forward Deployed Data Engineer - EU role at Datafold.

From the original posting

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.