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Senior Forward Deployed Engineer (Palantir Foundry Delta)

iSpace, IncUnited States🇺🇸United StatesPosted 8 Jul 2026

Why This Role Stands Out

Leverage your Palantir Foundry expertise in this remote Senior Forward Deployed Engineer role, offering significant growth and impact within a dynamic contracting opportunity. You'll thrive if you possess a passion for complex problem-solving and enjoy collaborating with innovative teams to drive critical projects forward. Don't miss out on this chance to expand your skills and contribute to exciting initiatives.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Senior Forward Deployed Engineer (Palantir Foundry – Delta)

Location: Remote (U.S.)

Job Type: 12-month Contract (Potential Extensions)

Openings: 2

  

“Applicants must be authorized to work in the U.S. without current or future employer sponsorship.”

 


Important Requirement

Candidates must have hands-on, real project experience with Palantir Foundry.
Profiles without genuine Palantir experience will not be considered.


About the Role

We are hiring a Senior Forward Deployed Engineer (Delta) to act as a technical leader within the Palantir ecosystem. This role requires deep expertise in Palantir Foundry architecture, development, and deployment, supporting enterprise-scale use cases such as Axis, inventory, and operational analytics.

You will bridge business and technology—architecting solutions, driving deployments, and delivering measurable outcomes in a complex data ecosystem.


Key Responsibilities

Technical Leadership & Architecture

  • Design and implement end-to-end data pipelines using Palantir Foundry
  • Architect and manage the Ontology layer (object types, link types, action types, interfaces)
  • Develop high-performance transforms using Python (PySpark, Pandas, Polars), SQL, and Java
  • Build function-backed logic using TypeScript/Python
  • Create Workshop applications and OSDK-based custom apps
  • Implement enterprise-grade data governance (RBAC, ABAC, markings, restricted views)
  • Design AIP-powered workflows including RAG pipelines and AI-driven automation

Deployment & Stakeholder Engagement

  • Act as the primary technical SME for Palantir engagements
  • Lead end-to-end deployments: scoping → architecture → build → deploy → optimize
  • Translate business requirements into scalable Foundry solutions
  • Partner with stakeholders across business, engineering, and analytics teams
  • Identify new use cases and drive platform adoption and expansion

Team Leadership & Mentorship

  • Mentor and guide Forward Deployed Engineers (FDEs)
  • Establish best practices for:
    • Code quality & reviews
    • CI/CD & branching strategies
    • Incremental pipeline design
  • Drive knowledge sharing and internal enablement

Platform Expertise & Innovation

  • Stay current with Foundry capabilities:
    • Pipeline Builder, Code Workspaces
    • Ontology & OSDK
    • Model Studio & AIP
  • Build and deploy ML models and predictive analytics solutions
  • Collaborate with product teams to influence platform improvements

Required Qualifications

  • 5+ years in Software Engineering / Data Engineering / Technical Consulting
  • 2+ years of hands-on Palantir Foundry experience (mandatory)
  • Strong programming skills in:
    • Python (PySpark, Pandas, Polars)
    • SQL
    • TypeScript (preferred)
  • Proven experience building:
    • Enterprise data pipelines (batch & streaming)
    • Workshop / OSDK applications
  • Deep understanding of:
    • Ontology design and implementation
    • Foundry data lifecycle (ingestion → transformation → application)
  • Strong stakeholder communication skills

Preferred Qualifications

  • Experience with Google Cloud Platform (Google Cloud Platform)
  • Strong expertise in BigQuery optimization & data warehousing
  • Hands-on with:
    • AIP (Agents, Logic, LLM workflows)
    • Model Studio / ML lifecycle
  • Data governance & security:
    • HIPAA compliance
    • Cipher, ABAC, restricted datasets
  • Prior experience in healthcare or regulated industries
  • Experience leading teams of 3+ engineers

Core Technical Skills

Languages: Python, SQL, TypeScript, Java
Data Engineering: PySpark, Pandas, Polars, DuckDB, Incremental Pipelines
Cloud: Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub, BigQuery)
Palantir Foundry: Ontology, OSDK, Workshop, Pipeline Builder
AI/ML: AIP, Model Studio, LLM workflows, RAG
Governance: RBAC, ABAC, HIPAA, Data Security

 

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