Palantir Lead1Role OverviewWe are seeking a Palantir Experts for implementation, and scaling of enterprise data and AI platforms using Palantir Foundry and AIP.This role requires a unique blend of data engineering, platform architecture, and business problem-solving, with the ability to translate complex data into operational applications that drive real-time decision-making.Key Responsibilities1. Architecture & Solution DesignExeucte end-to-end architecture outlined using Palantir Foundry (data ingestion, ontology, pipelines, applications)Understand and execute scalable, secure, and high-performance data platformsLead ontology modeling aligned with business entities and workflowsReal-time and batch data processing solutions2. Platform Implementation (Foundry)Lead implementation of:Data pipelines (Code Repos, Pipeline Builder)Ontology and object modelingFoundry applications (Workbench, Slate, operational apps)Ensure best practices in:Data lineageVersioningGovernance and access control3. AI / Advanced Analytics (AIP)Design and implement AI/ML and GenAI use cases using AIPEnable decision automation and agentic workflowsIntegrate LLMs and ML models into business processesRequired QualificationsExperience7+ years in data engineering / data platform architecture2+ years hands-on experience with Palantir Foundry, Ontology and AIPProven track record of delivering enterprise-scale data platformExperience in Forward Deployed Engineer (FDE)-like rolesExposure to tools like Databricks, Snowflake, dbt (for integration scenarios)Experience with data governance frameworksTechnical SkillsStrong expertise in:Distributed data processing (Spark, PySpark)Data modeling and architectureAPIs and system integrationsHands-on experience with:Foundry OntologyPipeline Builder / Code RepositoriesFoundry application developmentExperience with:Cloud platforms (AWS / Azure / GCP)SQL, PythonReal-time data processing
