Senior Forward Deployed Engineer (Palantir Foundry)
- 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.
- 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.
Technical Skills
Languages: Python, SQL, TypeScript, Java
Data Engineering: PySpark, Pandas, Polars, DuckDB, Pipeline Builder, Incremental Pipelines
Palantir Foundry: Ontology, Workshop, OSDK, Functions, Data Connections, Syncs, Actions
Cloud: Google Cloud Platform, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions
AI/ML: AIP Logic, AIP Agents, Model Studio, LLM Functions, Evaluation Frameworks, RAG
Security & Governance: Permissions, Restricted Views, Markings, ABAC, Cipher, HIPAA Compliance
Infrastructure: Batch & Streaming Pipelines, CDC, Scheduling, Data Connectors, Cloud Networking
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