Palantir Foundry Developer (Senior Forward Deployed Engineer)

Tranzeal, Inc.; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Tranzeal, Inc. seeks a Senior Forward Deployed Engineer to lead design, development, and deployment of Palantir Foundry solutions for enterprise data, analytics, and AI. The role blends hands-on engineering, solution architecture, and customer engagement to deliver data-driven outcomes.

The candidate will own projects end-to-end, mentor engineers, and collaborate with executives and stakeholders to drive adoption and production-grade outcomes in a dynamic US-based environment.

Qualifications

• 8+ years of software, data engineering, or technical consulting experience.
• 2+ years hands-on Palantir Foundry experience.
• Strong Python, SQL, and distributed data processing skills.
• Deep Foundry Ontology, data pipelines, and application development.
• Production-scale batch and streaming data solutions.
• Workshop and/or OSDK app development – TypeScript/React.
• Strong communication and stakeholder management skills.
• Experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, Pub/Sub, Cloud Functions, IAM.
• AI/ML platforms, LLM-powered apps, and RAG architectures.
• Knowledge of data governance, ABAC, HIPAA security environments.
• Experience leading teams of 3 engineers.
• Healthcare/clinical ops or revenue cycle experience preferred.

Responsibilities

• Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry.
• Develop scalable data transformations using Python, SQL, PySpark, Pandas, Polars, DuckDB, and Java.
• Architect and maintain Foundry Ontology components.
• Build and deploy Workshop applications, OSDK-based apps, and custom workflows.
• Develop server-side logic using TypeScript and Python Functions.
• Implement enterprise data governance, security controls, permissions, restricted views, and RBAC.
• Design and deploy AI-powered solutions including AIP Logic, AIP Agents, RAG pipelines, and LLM-enabled workflows.
• Serve as the primary technical lead for complex customer engagements.
• Translate business requirements into scalable platform solutions.
• Own projects through architecture, development, testing, deployment, and operation.
• Drive user adoption by delivering production-grade solutions.
• Collaborate with executives, business stakeholders, analysts, and engineering teams.
• Mentor engineers through code reviews and architecture guidance.
• Establish standards for branching, CI/CD, testing, and pipeline design.
• Lead knowledge-sharing sessions and technical enablement.
• Contribute to platform innovation and internal tooling.

Skills

Python

SQL

Distributed data processing

Foundry Ontology

Data pipelines

Workshop/OSDK

TypeScript/React

GCP

BigQuery

Dataflow

Pub/Sub

IAM

LLM/AI

RAG

Model deployment

Data governance

ABAC/HIPAA

Security frameworks

Team leadership

Tools

OSDK

Workshop

React

CI/CD

Job description

++Palantir Foundry Developer++ ++(++ ++Senior Forward Deployed Engineer++ ++)++

• W2 Only role.
• Candidates must be authorized to work in the United States.
• Sponsorship is not available for this position.

Overview

Seeking a Senior Forward Deployed Engineer to lead the design, development, and deployment of enterprise-scale data, analytics, and AI solutions using Palantir Foundry. This role combines hands-on engineering, solution architecture, customer engagement, and technical leadership to deliver high-impact operational and data-driven outcomes.

Key Responsibilities

Solution Architecture & Engineering

• Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry.
• Develop scalable data transformations using Python, SQL, PySpark, Pandas, Polars, DuckDB, and Java.
• Architect and maintain Foundry Ontology components, including Object Types, Link Types, Action Types, Interfaces, and Functions.
• Build and deploy Workshop applications, OSDK-based applications, and custom operational workflows.
• Develop server-side business logic using TypeScript and Python Functions.
• Implement enterprise data governance, security controls, permissions, restricted views, and role-based access management.
• Design and deploy AI-powered solutions including AIP Logic, AIP Agents, RAG pipelines, and LLM-enabled workflows.

Deployment & Stakeholder Engagement

• Serve as the primary technical lead for complex customer engagements.
• Translate business requirements into scalable platform solutions.
• Own projects through architecture, development, testing, deployment, and operationalization.
• Drive user adoption by delivering reliable, production-grade solutions.
• Collaborate with executives, business stakeholders, analysts, and engineering teams.

Technical Leadership

• Mentor engineers through code reviews, architecture guidance, and best practices.
• Establish standards for branching strategies, CI/CD, testing, and pipeline design.
• Lead knowledge-sharing initiatives and technical enablement sessions.
• Contribute to platform innovation, internal tooling, and engineering best practices.

Required Qualifications

• 8 years of software engineering, data engineering, or technical consulting experience.
• 2 years of hands-on Palantir Foundry experience.
• Strong expertise in Python, SQL, and distributed data processing technologies.
• Deep understanding of Foundry Ontology, data pipelines, and application development.
• Experience building production-scale batch and streaming data solutions.
• Experience with Workshop and/or OSDK application development – TypeScript / React.
• Strong communication and stakeholder management skills.
• Experience with Google Cloud Platform (Google Cloud Platform), including BigQuery, Dataflow, Pub/Sub, Cloud Functions, and IAM.
• Experience with AI/ML platforms, LLM-powered applications, RAG architectures, and model deployment.
• Knowledge of data governance, ABAC, HIPAA-compliant environments, and enterprise security frameworks.
• Experience leading teams of 3 engineers.
• Healthcare, clinical operations, or revenue cycle experience preferred.