Forward Deployed Data Engineer

Role Overview

Join Datafold as a Forward Deployed Data Engineer. You’ll take ownership of AI-automated data platform migration projects in a customer-facing role that combines data engineering, AI, and project leadership.

Responsibilities

• Deliver AI-automated data platform migration projects end-to-end: manage project execution and remove blockers.
• Act as the primary customer point of contact, managing stakeholder expectations and escalating risks early.
• Configure Datafold’s Migration Agent and oversee migration execution.
• Collaborate closely with Datafold’s internal engineering team throughout delivery.

Requirements

• AI power user: uses AI daily and continuously improves how to use it effectively.
• Excellent communication skills for both executive check-ins and technical design sessions.
• 3–6 years in data consulting, professional services, or a customer-facing data engineering role.
• Strong understanding of the modern data stack, including:
  • dbt
  • Snowflake
  • Databricks
  • Orchestration tools
  • Key patterns such as stored procedures, streaming, and incremental processing.
• Extreme ownership: identify, surface, and fix problems; rally the team to act without needing prompts.

Nice to Have

• Exposure to legacy data stacks (e.g., ETL, stored procedures) and experience with data platform migration projects.