Palantir Lead

About

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amaze Systems Inc, is seeking the following.

Job Description

We are looking for an experienced Palantir Lead / Architect with over 10 years of overall experience and strong expertise in the Palantir Foundry ecosystem. The role involves designing, developing, and implementing scalable data platforms and AI-driven solutions for enterprise use cases.

Key Responsibilities

• Design and implement end-to-end data solutions using the Palantir Foundry platform
• Build and manage data pipelines for ingestion, transformation, and orchestration
• Develop and maintain Foundry Ontology models to represent business entities and relationships
• Work on Contour / AIP (Artificial Intelligence Platform) for AI/ML-driven workflows and decision support
• Utilize Quiver for advanced analytics and data exploration use cases
• Collaborate with business stakeholders to translate requirements into data-driven applications and workflows
• Ensure data governance, lineage, security, and performance optimization
• Drive best practices for data engineering, architecture, and deployment within Palantir ecosystem
• Support production deployments, troubleshooting, and optimization of pipelines and applications

Required Skills & Experience

• 10+ years of overall IT experience, with strong focus on data/platform engineering
• Hands-on experience with:
  • Palantir Foundry (must-have)
  • Pipeline Builder / Code Repositories within Foundry
  • Ontology modeling
  • Contour / AIP
  • Quiver
• Strong expertise in:
  • Data engineering and pipeline development
  • Data modeling and schema design
  • Distributed data processing concepts
• Proficiency in Python / SQL
• Experience in data governance and data quality frameworks
• Ability to work in client-facing roles and drive solution discussions

Preferred Skills

• Experience in cloud platforms (AWS preferred)
• Exposure to AI/ML integration and use-case development
• Knowledge of data mesh / data product architecture
• Strong understanding of enterprise data ecosystems

Soft Skills

• Strong stakeholder communication and leadership skills
• Ability to drive end-to-end solution ownership
• Experience working in onsite-offshore collaboration model