The ad says“Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus”
The ad says“Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)”
The ad says“Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)”
The ad says“Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus”
The ad says“Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)”
The ad says“Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)”
The ad says“Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)”
The ad says“Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus”
The ad says“Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)”
Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership
As a Forward Deployed Data Engineer leveraging Datafold’s AI technology, you will own migration projects end-to-end, gain deep understanding of the customer’s data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery
Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants
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 our product and delivery playbook as the team grows
Benefits
Unlimited PTO
Co-working budget
Home office budget
Flexible working hours
Parental leave
Preferred experience
Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus
Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told
Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)
AI power user — using AI every day and always learning and improving on how to use it more effectively
Excellent communication skills — equally comfortable in an exec check-in and a technical design session
3–6 years in data consulting, professional services, or a customer-facing data engineering role
