Please strictly adhere to the following resume naming convention:
Please do not forge integration profiles as Palantir. Candidates must actually have experience with 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 Foundrys platform capabilities and DaVitas 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 DaVitas 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 DaVitas 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 DaVitas 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 TypeScriptPython 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 customers 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 CICD
Conduct knowledge-sharing sessions and internal trainings on Foundry capabilities, new platform features, and deployment patterns
Contribute to DaVitas 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 DaVitas 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 andor OSDK-based applications (ReactTypeScript)
Strong communication skills with the ability to engage both technical and non-technical stakeholders
Preferred Qualifications
Experience with Google Cloud Platform (Google Cloud Platform) Compute Engine, Cloud Functions, Cloud Storage, Dataflow, PubSub, and IAM
Experience with Google BigQuery query optimization, partitioningclustering 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, batchlive 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 (Google Cloud Platform), BigQuery, Cloud Storage, Dataflow, PubSub, Cloud Functions
Ontology
Object Types, Link Types, Action Types, Interfaces, Functions, OSDK
Applications
Workshop, OSDK (ReactTypeScriptPython), 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 (BatchStreamingCDC), Schedules, Google Cloud Platform Networking
Role Descriptions: Palantir Core
Essential Skills: Palantir Core
Desirable Skills:
Keyword:
Skills: Palantir Core
Experience Required: 6-8
