Forward Deployed Data Engineer

As a Forward Deployed Data Engineer, you will own the foundation our AI systems stand on. A model is only as good as the data it learns from and is measured against; your work makes that data complete, traceable, and trusted. You will work alongside a Forward Deployed AI Engineer, who owns the models. Your first project: helping an ERP company make its product AI-native.

Responsibilities

Extract data from ERP, CRM, and accounting systems and design the pipelines that keep it flowing: ingestion, transformation, and storage; Establish quality and lineage controls so every figure can be traced to its source; Curate the training and evaluation datasets the models learn from and are judged by; Run these systems in production at enterprise scale and own their reliability; Leave behind infrastructure the company's own team can operate and extend

Requirements

Have built and operated production data pipelines, and kept them running when they broke; Write excellent Python and SQL, and have worked with a warehouse or lakehouse such as Snowflake, BigQuery, Databricks, or Postgres; Can bring order to data from systems you did not design; Have prepared data for an ML or LLM system: training sets, evaluation sets, or retrieval; Work with AI coding tools every day and judge the result by the system it produces

Nice to have

Have built on or integrated with an ERP, CRM, or accounting system; Have built data quality or lineage tooling that others depended on; Have done consulting or forward-deployed work, and know how to earn trust inside a company that isn't yours