Datafold is hiring a Forward Deployed Data Engineer to own the end-to-end delivery of AI-automated data platform migration projects in a customer-facing, project-leadership role.
Stack
Responsibilities
- ▹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 the product and delivery playbook as the team grows
Requirements
- ▹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: identify, surface, and fix problems and rally the team without being told
- ▹AI power user, using AI every day and always improving how to use it more effectively
Nice to have
- ▹Exposure to legacy data stack and patterns (ETL, stored procedures)
- ▹Experience with data platform migration projects
Soft skills
Extreme ownershipStakeholder management and escalationCommunication with both technical and executive audiences
What we offer
- ▹Competitive salary and equity
About the company
Datafold is the data engineering automation platform, delivering large-scale data platform migrations with AI at fixed price and guaranteed timeline, up to 6x faster than alternatives, partnering closely with Databricks and Snowflake.
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