A high-ownership, customer-facing role at Datafold, owning the end-to-end delivery of AI-automated data platform migration projects at fixed price and guaranteed timeline.
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, escalate risks early before they compound
- ▹Configure Datafold's Migration Agent and oversee 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 migration patterns (stored procedures, streaming, incremental processing)
- ▹Extreme ownership mentality: identifies, surfaces, and fixes problems, rallies the team without being told
- ▹AI power user: uses AI daily and keeps learning 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 ownership and proactivityExcellent communication at both technical and business levelsStrong stakeholder management and risk escalation
What we offer
- ▹Competitive salary + equity
About the company
Datafold is a data engineering automation platform delivering large-scale data platform migrations with AI at fixed price and guaranteed timeline, partnering closely with leading data platforms including Databricks and Snowflake.
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