Senior Google Cloud Platform Forward Deployed Engineer/AI Enabled Google Cloud Platform Backend Data Engineer
Top Skills' Details
What Success Looks Like
Within the first 90 days, successful FDEs will:
• Become productive contributors within their assigned WFM pod.
• Help successfully transition business-critical functionality from Palantir to Google Cloud Platform.
• Deliver production-ready code utilizing AI-enabled development techniques.
• Contribute to meeting critical migration milestones tied to FedEx’s Palantir exit strategy.
• Operate as trusted technical advisors to both TGS and FedEx stakeholders.
Skills & Tools Needed
Required Technical Skills
Google Cloud Platform (Google Cloud Platform)
• BigQuery
• Cloud Storage
• Dataflow
• Cloud Functions
• Cloud Run
• Pub/Sub
• IAM & Security Concepts
Data Engineering
• Python
• SQL
• PySpark
• ETL/ELT Development
• Data Modeling
• Data Transformation Frameworks
• Pipeline Orchestration
Software Engineering
• Application Development
• API Integration
• Microservice Architecture
• CI/CD Practices
• Source Control (Git)
AI-Enabled Development
Candidates should demonstrate experience utilizing AI-assisted development tools to accelerate engineering outcomes.
Preferred examples include:
- • Claude Code
- • GitHub Copilot
- • Gemini Code Assist
- • Similar AI coding assistants
The expectation is not simply code generation but the ability to leverage AI to increase productivity, accelerate migration efforts, and improve delivery outcomes.
Preferred Experience
• Previous Palantir Foundry experience.
• Experience decommissioning or replacing Palantir solutions.
• Experience migrating applications from Palantir to Google Cloud Platform.
• Supply chain, logistics, forecasting, transportation, or operations domain experience.
• FedEx experience.
• Weekly Forecast Manager (WFM) familiarity.
• Experience supporting enterprise-scale modernization initiatives.