Senior Forward Deployed Engineer – Palantir

Senior Forward Deployed Engineer (Delta)

About the Role

As a Senior Forward Deployed Engineer (Delta), you will serve as the technical leader at the intersection of Palantir Foundry's platform capabilities and DaVita's most complex, high-impact healthcare data and operational engagements. This role combines deep technical expertise in Palantir Foundry with strategic deployment leadership, driving transformational outcomes for DaVita's kidney care and healthcare operations.

The Delta designation reflects a commitment to driving change and transformation — you are the catalyst who bridges the gap between what the platform can do and what it should do for DaVita's unique operational context. You will be expected to be hands-on and an independent FDE owning , architecting enterprise-grade solutions, development, deployment, mentor as needed, and shape the technical strategy for critical engagements across DaVita's healthcare ecosystem.

Key Responsibilities

Technical Leadership & Architecture

Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry, including complex transforms, incremental pipelines, and multi-source data connectors

Architect and maintain the Ontology layer — defining object types, link types, action types, and interfaces that model customer domains with precision and scalability

Develop and optimize Python, SQL, and Java transforms across distributed (PySpark) and lightweight (Pandas, Polars, DuckDB) compute engines

Build and deploy TypeScript/Python Functions for server-side business logic, function-backed actions, and function-backed columns

Create and configure Workshop applications, OSDK-based custom applications, and custom widgets to deliver operational front-ends

Lead data governance implementation — markings, permissions, restricted views, property security groups, and role-based access controls

Design and deploy AIP-powered workflows, including AIP Logic, AIP Agents, evaluation suites, and retrieval-augmented generation (RAG) pipelines

Deployment Strategy & Customer Engagement

Serve as the primary technical point of contact for senior customer stakeholders, translating business problems into platform solutions

Own deployment roadmaps end-to-end: scoping, architecture design, implementation, testing, and operationalization

Drive adoption by delivering high-quality, production-grade solutions that users trust and rely on daily

Navigate complex organizational dynamics, building relationships with executives, analysts, data engineers, and end users

Identify expansion opportunities by deeply understanding the customer's operational landscape and surfacing new use cases for the platform

Skills:

Team Leadership & Mentorship

Lead and mentor a team of Forward Deployed Engineers, providing technical guidance, code reviews, and architecture direction

Establish engineering best practices across the deployment: branching strategies (global and local), incremental pipeline design, testing, and CI/CD

Conduct knowledge-sharing sessions and internal trainings on Foundry capabilities, new platform features, and deployment patterns

Contribute to DaVita's internal engineering culture through tooling improvements, documentation, and cross-team collaboration

Platform Mastery & Innovation

Stay at the forefront of Foundry platform evolution — including Pipeline Builder, Code Workspaces, Model Studio, OSDK, Cipher, and streaming capabilities

Build and deploy machine learning models using Model Studio (no-code) and pro-code repositories for classification, regression, time series forecasting, and custom predictive modeling

Leverage the full data lifecycle: Data Connection → Sync → Datasets → Transforms → Ontology

→ Applications → Actions → Writeback

Partner with Palantir product teams and DaVita's internal Palantir development team to provide field feedback and shape the future direction of the platform

Education:

Required Qualifications

5+ years of experience in software engineering, data engineering, or technical consulting — with at least 2+ years on Palantir Foundry

Strong proficiency in Python (PySpark, Pandas, Polars) and SQL; experience with TypeScript is highly valued

Deep understanding of the Foundry Ontology — object types, link types, action types, interfaces, and functions

Proven track record of designing and deploying production-grade data pipelines (batch and streaming) at enterprise scale

Experience building Workshop applications and/or OSDK-based applications (React/TypeScript)

Strong communication skills with the ability to engage both technical and non-technical stakeholders

Preferred Qualifications

Experience with Google Cloud Platform (GCP) — Compute Engine, Cloud Functions, Cloud Storage, Dataflow, Pub/Sub, and IAM

Experience with Google BigQuery — query optimization, partitioning/clustering strategies, BigQuery ML, data warehousing patterns, and migration from legacy EDW platforms (e.g., Netezza, Teradata)

Experience with AIP (AI Platform) — AIP Logic, AIP Agents, evaluation suites, and LLM-powered functions

Familiarity with machine learning workflows in Foundry: Model Studio, pro-code model authoring, batch/live inference

Experience implementing data governance frameworks — markings, ABAC, restricted views, Cipher for data protection, and HIPAA-compliant data handling

Background in healthcare, kidney care, or clinical operations, revenue cycle optimizations a plus.

Experience leading teams of 3+ engineers in forward-deployed settings

Contributions to internal tooling, open-source projects, or platform evangelism

Technical Skills Summary

Category

Technologies & Skills

Languages

Python, TypeScript, SQL, Java

Data Engineering

PySpark, Pandas, Polars, DuckDB, Pipeline Builder, Incremental Pipelines

Cloud Platforms

Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions

Ontology

Object Types, Link Types, Action Types, Interfaces, Functions, OSDK

Applications

Workshop, OSDK (React/TypeScript/Python), Custom Widgets

AI / ML

AIP Logic, AIP Agents, Model Studio, LLM Functions, Evaluation Suites, BigQuery ML

Data Governance

Markings, Permissions, Restricted Views, Cipher, ABAC, HIPAA Compliance

Infrastructure

Data Connections, Connectors, Syncs (Batch/Streaming/CDC), Schedules, GCP Networking

Role Descriptions: Palantir Core

Essential Skills: Palantir Core

Desirable Skills:

Keyword:

Skills: Palantir Core

Experience Required: 6-8

Role Descriptions: Palantir Core

Essential Skills: Palantir Core

Desirable Skills:

Keyword:

Skills: Palantir Core

Experience Required: 4-6