Datafold

data engineer for AI-powered data platform migrations

In short

This role involves owning data platform migration projects end-to-end for Datafold, a venture-backed data engineering automation platform that partners with Databricks and Snowflake. The job is customer-facing, requiring the person to run check-ins, manage stakeholders, and configure/oversee Datafold's Migration Agent. It demands 3–6 years of experience in data consulting or customer-facing data engineering, strong knowledge of the modern data stack (dbt, Snowflake, Databricks, orchestration tools), and daily use of AI tools. The role is fully remote.

About the company
Datafold is a data engineering automation platform that delivers large-scale data engineering projects, including AI-powered data platform migrations, at a fixed price and with a guaranteed timeline. It is a venture-backed software company that has reimagined automation and partners with leading data platforms, including Databricks and Snowflake, to deliver complex migrations.
Responsibilities
•Own 1–4 concurrent migration projects end-to-end, including scoping, planning, execution, and customer handoff
•Serve as the primary customer contact, run weekly check-ins, manage stakeholder expectations, and escalate risks early
•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 for executive check-ins and technical design sessions
•Strong grasp of the modern data stack, including dbt, Snowflake, Databricks, orchestration tools, stored procedures, streaming, and incremental processing
•Extreme ownership mentality: identify, surface, and fix problems, and rally the team without being told
•Use AI every day and continuously improve how it is used
Nice to have
•Exposure to legacy data stacks and patterns such as ETL and stored procedures, and data platform migration projects
Conditions
•Competitive salary + equity

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