Forward Deployed Data Engineer
Role Overview
The data engineer role has changed. Building a pipeline, handing it off, and waiting for someone else to confirm the data is right no longer creates much value. The engineers who matter now go deep into the business domain, understand the problem directly, and use AI tools to move from question to working solution in hours rather than sprints.
We are seeking a Senior Forward Deployed Data Engineer who operates as a hybrid technical product owner. You will build and operate the data platform on Azure Databricks, and you will also sit with business stakeholders, interrogate the problem, and own the outcome end to end. You will not wait for requirements to arrive. You will go find them, validate them, and ship, using Claude Code and agentic development patterns to collapse the distance between understanding a business problem and solving it in production.
What You Will Do
Own the Data Platform
- Design, build, and operate the data platform on Azure Databricks, covering ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting.
- Build and maintain pipelines across the business ecosystem, including Salesforce, SQL Server, Snowflake, third-party sources, and a new cloud-native payments plat
