Palantir Lead1
Role Overview
We 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 Responsibilities
- Architecture & Solution Design
- Exeucte 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
- 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
- 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
Experience
Required Qualifications
- 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
- Strong 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
