Interim Palantir Architect

Palantir Architect (Foundry / Ontology Focus)

Engagement Type: Interim

Industry: Advanced Manufacturing & Technology

We are partnering with a high‑growth, innovation‑driven organization at the intersection of manufacturing and technology to identify a Palantir Architect. This individual will play a critical role in designing and scaling enterprise data platforms, with a strong emphasis on Palantir Foundry and ontology‑driven architecture.

This is a highly visible role, working directly with executive stakeholders, data engineering teams, and business leaders to transform complex operational and industrial data into actionable insights and scalable digital solutions.

• Architect and lead the design of end‑to‑end Palantir Foundry implementations
  , including data integration, pipeline orchestration, and application layer development.
• Define and implement enterprise ontology frameworks
  , translating business processes into structured, reusable data models that drive decision‑making.
• Partner with cross‑functional stakeholders to map manufacturing, supply chain, and operational processes into scalable ontology‑based systems.
• Design and optimize data pipelines
  , ensuring efficient ingestion, transformation, and harmonization of structured and unstructured data sources.
• Develop and guide implementation of Foundry applications
  , including operational dashboards, workflow automation, and real‑time analytics tools.
• Establish best practices for data governance, lineage, and security within the Palantir ecosystem.
• Mentor and guide data engineers, developers, and analysts on Palantir platform capabilities, ontology design, and scalable architecture patterns
  .
• Drive adoption of data‑driven decision‑making across engineering, operations, and leadership teams.
• Collaborate with AI/ML teams to integrate advanced analytics and model outputs into ontology‑driven workflows.

• Proven experience architecting solutions on Palantir Foundry in enterprise environments.
• Deep expertise in ontology design and implementation
  , including mapping real‑world business entities and relationships into scalable data models.
• Strong background in data architecture
  , including ETL/ELT pipelines, distributed systems, and data modeling.
• Experience working with complex industrial or manufacturing data environments (e.g., IoT, supply chain, production systems).
• Proficiency in core technologies such as:
  • SQL and distributed data systems
  • Python or similar for data engineering workflows
  • APIs and data integration frameworks
• Experience integrating third‑party systems, ERP platforms, and operational data sources into centralized data platforms.