Galactic Minds INC
Palantir Lead (Foundry / AIP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Lead (Foundry / AIP) in Milpitas, CA, with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 15+ years of experience, including 3+ years with Palantir Foundry and strong data engineering skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Milpitas, CA
-
🧠 - Skills detailed
#Databricks #Batch #Data Modeling #Data Governance #ML (Machine Learning) #AWS (Amazon Web Services) #Automation #SQL (Structured Query Language) #Data Processing #Leadership #AI (Artificial Intelligence) #dbt (data build tool) #Data Lineage #Scala #Snowflake #Python #Spark (Apache Spark) #Azure #Palantir Foundry #Data Engineering #Data Ingestion #GCP (Google Cloud Platform) #PySpark #Data Pipeline #Cloud
Role description
Palantir Lead (Foundry / AIP)
Location: Milpitas, United States (Hybrid)
We need someone who has overall 15+ years of experience. Since this is Architect role and someone who can relocate to Milpitas, CA.
Role Overview
We are seeking a Palantir Expert to lead the design, 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
• Define end-to-end architecture using Palantir Foundry (data ingestion, ontology, pipelines, applications)
• Design scalable, secure, and high-performance data platforms
• Lead ontology modeling aligned with business entities and workflows
• Architect real-time and batch data processing solutions
1. 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
1. 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
1. Stakeholder & Client Engagement
• Work closely with business stakeholders to define use cases
• Translate business problems into Foundry solutions
• Act as a trusted advisor to client leadership
Required Qualifications
• 10+ years in data engineering / data platform architecture
• 3+ 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
Palantir Lead (Foundry / AIP)
Location: Milpitas, United States (Hybrid)
We need someone who has overall 15+ years of experience. Since this is Architect role and someone who can relocate to Milpitas, CA.
Role Overview
We are seeking a Palantir Expert to lead the design, 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
• Define end-to-end architecture using Palantir Foundry (data ingestion, ontology, pipelines, applications)
• Design scalable, secure, and high-performance data platforms
• Lead ontology modeling aligned with business entities and workflows
• Architect real-time and batch data processing solutions
1. 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
1. 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
1. Stakeholder & Client Engagement
• Work closely with business stakeholders to define use cases
• Translate business problems into Foundry solutions
• Act as a trusted advisor to client leadership
Required Qualifications
• 10+ years in data engineering / data platform architecture
• 3+ 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
