Forward Deployed Data Engineer - US
Own the delivery of AI-automated data platform migration projects in a customer-facing role at Datafold.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Own 1–4 concurrent migration projects end-to-end
- Be the primary customer contact
- Configure Datafold's Migration Agent
- Partner with Datafold's engineering team
- Help refine and scale our product and delivery playbook
Must have
- 3–6 years in data consulting or customer-facing data engineering role
- Excellent communication skills
- Strong grasp of the modern data stack
Nice to have
- Exposure to legacy data stack and patterns
- Experience with data platform migration projects
AI in the day-to-day
Using our proprietary AI tooling to plan and deliver the migration projects.
Requirements
- Experience
- 3–6 years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Forward Deployed Data Engineer at Datafold, the individual will manage the end-to-end delivery of AI-driven data platform migration projects, ensuring timely execution and effective communication with clients. Key skills include expertise in the modern data stack, particularly with tools like dbt, Snowflake, and Databricks, alongside a strong ownership mentality. This position is ideal for someone with 3-6 years of experience in data consulting or customer-facing engineering roles, who thrives in a dynamic, client-focused environment.
Joblaze insights
- Listed yesterday 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 - EU.
- 1672 active AI roles on Joblaze right now.
- 452 active Snowflake roles on Joblaze right now.
- 316 active dbt roles on Joblaze right now.
- Typical AI salary we track runs $120,000–$199,775 (median $159,900, across 686 roles). See AI salary trends
Quick facts
- How much experience is required?
- 3–6 years of relevant experience for this Forward Deployed Data Engineer - US role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, 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 - US 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
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.