Datafold is a fast-growing, Series A startup at the forefront of data quality and observability—think Datadog for data engineers. Backed by top-tier investors including YC, Amplify, and NEA, we're redefining how companies like Disney, FanDuel, and Perplexity maintain quality across the entire data lifecycle. Although headquartered in the US, we’re a fully remote team with employees across the US and EU.
We are looking for a Data Engineer to play a key role in strategic customer engagements, leveraging the Datafold Migration Agent (DMA)—an AI-powered tool that’s transforming data migration. You will be instrumental in accelerating workflow migrations, helping customers transition their data platforms in a fraction of the time and cost.
About the Role
Meet with the customer and create an in-depth understanding of their migration project and architecture
Collaborate closely with Datafold’s Engineering team on assembling an AI migration pipeline
Advise the customer and Datafold team on the best way to approach migrations
Leverage Datafold’s AI migration toolkit to perform translation and validation of complex pipelines
About You
We are looking for engineers who have:
5+ years of experience as a Data Engineer
Advanced mastery of SQL
Strong understanding of key data engineering patterns, including batch orchestration (Airflow, dbt, Dagster, etc.) and streaming pipelines.
Outstanding communication skills (consulting or customer-facing experience is a plus)
Familiarity with at least one legacy (Oracle, SQL Server, SAP HANA, Teradata, etc.) or modern (Snowflake, Databricks, BigQuery) data stack, with the ability to quickly learn and understand the use, purpose, and key differences of these systems
You will be a great fit if you have experience:
Driving data platform migrations
Across a broad set of data tools, including BI, (reverse) ETL, orchestration, etc.
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
