Palantir Lead

Experience: Not Available to Not Available years

Location: Pune, Maharashtra, India

Skills: Palantir Foundry, AIP, data engineering, platform architecture, data ingestion, ontology, data pipelines, ontology modeling, real-time data processing, batch data processing, Code Repos, Pipeline Builder, Foundry applications, Workbench, Slate, data lineage, versioning, governance, access control, AI, ML, GenAI, decision automation, agentic workflows, LLMs, ML models, distributed data processing, Spark, PySpark, data modeling, architecture, APIs, system integrations, Cloud platforms, AWS, Azure, GCP, SQL, Python

Role Overview

We are seeking a Palantir Expert 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 Responsibilities

1. Architecture & Solution Design

- Execute end-to-end architecture outlined using Palantir Foundry (data ingestion, ontology, pipelines, applications)
- Understand and execute scalable, secure, and high-performance data platforms
- Lead ontology modeling aligned with business entities and workflows
- Real-time and batch data processing solutions

2.

Platform





Implementation (Foundry)

- Lead implementation of:
- Data pipelines (Code Repos, Pipeline Builder)
- Ontology and object modeling
- Foundry applications (Workbench, Slate, operational apps)
- Ensure best practices in:
- Data lineage
- Versioning
- Governance and access control

3. AI / Advanced Analytics (AIP)

- Design and implement AI/ML and GenAI use cases using AIP
- Enable decision automation and agentic workflows
- Integrate LLMs and ML models into business processes

Required Qualifications

Experience

- 7 years in data engineering / data platform architecture
- 2 years hands-on experience with Palantir Foundry, Ontology and AIP
- Proven track record of delivering enterprise-scale data platform
- Experience in Forward Deployed Engineer (FDE)-like roles
- Exposure to tools like Databricks, Snowflake, dbt (for integration scenarios)
- Experience with data governance frameworks

Technical Skills

- Solid expertise in:
- Distributed data processing (Spark, PySpark)
- Data modeling and architecture
- APIs and system integrations
- Hands-on experience with:
- Foundry
- Ontology
- Pipeline Builder / Code Repositories
- Foundry application development
- Experience with:
- Cloud platforms (AWS / Azure / GCP)
- SQL, Python
- Real-time data processing

📌 Palantir Lead (India)
🏢 Jade Global Software
📍 India