Forward Deployed Data Engineer
Datafold
- United States
- Mid Level
- 3+ years
- Posted
Skills
Required
- data platform migration projects
- stored procedures
- data stack and patterns
- ETL
- modern data stack
- Snowflake
- Databricks
- orchestration tools
- streaming
- incremental processing
- dbt
Preferred
- migration
- scoping
- escalating risks
Join Datafold as a Forward Deployed Data Engineer, where you will take ownership of AI-automated data platform migration projects. This customer-facing role combines data engineering, AI, and project leadership. You will manage multiple migration projects, serve as the primary customer contact, and collaborate with Datafold's engineering team. Enjoy benefits such as unlimited PTO, a co-working budget, and flexible working hours.
Own the delivery of AI-automated data platform migration projects, managing execution and removing blockers.
Responsibilities
- Lead multiple concurrent migration projects end-to-end, including scoping, planning, execution, and customer handoff.
- Serve as the primary customer contact, running weekly check-ins, managing stakeholder expectations, and escalating risks.
- Excellent communication skills — equally comfortable in an exec check-in and a technical design session
Requirements
- 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
- 3–6 years in data consulting, professional services, or a customer-facing data engineering role
- 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
Pay
USD 155,000 - 200,000
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