Palantir Integration Engineer

About the role

Lead the design, development, and deployment of data integration solutions within Palantir Foundry and related data platforms. Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data. Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases. Integrate data across multiple systems and platforms (e.g., cloud storage, APIs, analytics environments) using scalable and secure patterns. Collaborate with cross-functional teams (data engineering, analytics, product, and security) to ensure seamless system interoperability and data consistency. Implement data validation, quality assurance, and governance processes (e.g., completeness checks, schema validation, metadata integrity). Support development of AI-enabled capabilities (e.g., semantic search, entity resolution, analytics) by enabling high-quality, well-structured data pipelines. Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions. Translate business and mission needs into technical requirements and scalable integration designs. Ensure compliance with security, privacy, and audit requirements, including role-based access controls, logging, and data protection standards. Drive technical design decisions, mentor junior engineers, and act as a technical lead within a matrixed team environment.

Responsibilities

• Lead the design, development, and deployment of data integration solutions within Palantir Foundry and related data platforms.
• Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data.
• Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases.
• Integrate data across multiple systems and platforms (e.g., cloud storage, APIs, analytics environments) using scalable and secure patterns.
• Collaborate with cross-functional teams (data engineering, analytics, product, and security) to ensure seamless system interoperability and data consistency.
• Implement data validation, quality assurance, and governance processes (e.g., completeness checks, schema validation, metadata integrity).
• Support development of AI-enabled capabilities (e.g., semantic search, entity resolution, analytics) by enabling high-quality, well-structured data pipelines.
• Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions.
• Translate business and mission needs into technical requirements and scalable integration designs.
• Ensure compliance with security, privacy, and audit requirements, including role-based access controls, logging, and data protection standards.
• Drive technical design decisions, mentor junior engineers, and act as a technical lead within a matrixed team environment.

Requirements

• U.S. Citizenship is required.
• Bachelor’s degree is required.
• Minimum FIVE (5) years of experience in data engineering, system integration, or platform engineering roles.
• Strong hands-on experience with Palantir Foundry (required), including:
  • Building and managing data pipelines.
  • Ontology/data model development and relationship mapping.
  • Integration of data across multiple systems.
• Experience with Palantir AIP (Artificial Intelligence Platform) (required), including development or support of AI-enabled workflows (e.g., search, analytics, decision support).
• Experience integrating Palantir with AWS cloud services, including S3-based ingestion, APIs, and serverless/data processing services (e.g., Lambda, Glue).
• Experience working with Databricks and Apache Spark for scalable data transformation, enrichment, and analytics workflows.
• Proficiency in Python, Java, or Scala, and strong SQL skills for data transformation and querying.
• Experience working with both structured and unstructured data (e.g., documents, images) to support analytics or AI use cases.
• Strong understanding of data modeling, schema alignment, and metadata management across integrated systems.
• Experience implementing data quality, validation, and governance controls.
• Familiarity with cloud security and access controls, including IAM, encryption, and audit logging.
• Proven ability to lead technical workstreams, mentor junior staff, and collaborate across cross-functional and matrixed teams.

Qualifications

• Advanced experience with Palantir Foundry, including pipeline optimization, ontology design, and performance tuning at scale.
• Deep experience with Palantir AIP, including development of AI-driven workflows (e.g., semantic search, entity resolution, decision-support applications).
• Experience designing and implementing end-to-end Palantir architectures across enterprise environments.
• Experience integrating Palantir with Databricks and AWS in production environments, including complex data exchange and processing patterns.
• Experience building AI/ML-enabled data products, particularly those leveraging unstructured data (e.g., NLP, document processing, image-based analytics).
• Previous experience working with federal agencies or government environments, including familiarity with security, compliance, and data governance requirements.
• Experience working in a consulting environment and/or delivering solutions in a matrixed organization.
• Experience supporting training, user enablement, and scaling of technical capabilities across teams or organizations.
• Experience implementing role-based access control (RBAC) and auditability within Palantir or similar platforms.
• Risk Management Certification (RMC)
• Advanced Analytics Certification (AIC)
• Advanced Data Science Certification (DSC)
• Advanced Machine Learning Certification (MLC)
• Advanced Cloud Computing Certification (CCC)
• Advanced Cybersecurity Certification (ASC)
• Advanced Data Governance Certification (DGC)
• Advanced Data Privacy Certification (DPC)
• Advanced Data Security Certification (DSC)
• Advanced Data Quality Certification (DQC)
• Advanced Data Integration Certification (DIC)
• Advanced Data Modeling Certification (DMC)
• Advanced Data Warehousing Certification (DWC)
• Advanced Data Visualization Certification (DVC)
• Advanced Data Analytics Certification (DAC)
• Advanced Data Engineering Certification (DEC)
• Advanced Data Science and Machine Learning Certification (DSMLC)
• Advanced Data Science and Artificial Intelligence Certification (DSAIC)
• Advanced Data Science and Big Data Analytics Certification (DSBDA)
• Advanced Data Science and Business Intelligence Certification (DSBIC)
• Advanced Data Science and Predictive Analytics Certification (DSPAC)
• Advanced Data Science and Cognitive Computing Certification (DSCCC)
• Advanced Data Science and Natural Language Processing Certification (DNSLP)
• Advanced Data Science and Computer Vision Certification (DCVC)
• Advanced Data Science and Deep Learning Certification (DDLC)
• Advanced Data Science and Reinforcement Learning Certification (DRLC)
• Advanced Data Science and Explainable AI Certification (DXAI)
• Advanced Data Science and Quantum Computing Certification (DAQC)
• Advanced Data Science and Blockchain Certification (DBLC)
• Advanced Data Science and Internet of Things Certification (DIoTC)
• Advanced Data Science and Edge Computing Certification (DECC)
• Advanced Data Science and Federated Learning Certification (DFLC)
• Advanced Data Science and Secure Multi-Party Computation Certification (DSMPC)
• Advanced Data Science and Differential Privacy Certification (DDP)
• Advanced Data Science and Secure Data Sharing Certification (DSDC)
• Advanced Data Science and Secure Data Storage Certification (DSSC)
• Advanced Data Science and Secure Data Transmission Certification (DSTC)
• Advanced Data Science and Secure Data Access Certification (DSAAC)
• Advanced Data Science and Secure Data Retrieval Certification (DSRRC)
• Advanced Data Science and Secure Data Processing Certification (DSPPC)
• Advanced Data Science and Secure Data Analysis Certification (DSAAC)
• Advanced Data Science and Secure Data Mining Certification (DSMMC)
• Advanced Data Science and Secure Data Mining and Machine Learning Certification (DSMMML)
• Advanced Data Science and Secure Data Mining and Artificial Intelligence Certification (DSMMAI)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence Certification (DSMMAML)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing Certification (DSMMAMCC)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision Certification (DSMMAMCCVC)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning Certification (DSMMAMCCVCDL)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI Certification (DSMMAMCCVCDLEX)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing Certification (DSMMAMCCVCDLEXQC)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain Certification (DSMMAMCCVCDLEXQCB)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things Certification (DSMMAMCCVCDLEXQCBIoT)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing Certification (DSMMAMCCVCDLEXQCBIoTEC)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning Certification (DSMMAMCCVCDLEXQCBIoTFLE)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning and Secure Multi-Party Computation Certification (DSMMAMCCVCDLEXQCBIoTFLESMPC)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning and Secure Multi-Party Computation and Differential Privacy Certification (DSMMAMCCVCDLEXQCBIoTFLESMPCDP)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning and Secure Multi-Party Computation and Differential Privacy and Secure Data Sharing Certification (DSMMAMCCVCDLEXQCBIoTFLESMPCDPSDS)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning and Secure Multi-Party Computation and Differential Privacy and Secure Data Sharing and Secure Data Storage Certification (DSMMAMCCVCDLEXQCBIoTFLESMPCDPSDSC)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning and Secure Multi-Party Computation and Differential Privacy and Secure Data Sharing and Secure Data Storage and Secure Data Transmission Certification (DSMMAMCCVCDLEXQCBIoTFLESMPCDPSDSCST)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and Edge Computing and Federated Learning and Secure Multi-Party Computation and Differential Privacy and Secure Data Sharing and Secure Data Storage and Secure Data Transmission and Secure Data Access Certification (DSMMAMCCVCDLEXQCBIoTFLESMPCDPSDSCSTSA)
• Advanced Data Science and Secure Data Mining and Machine Learning and Artificial Intelligence and Cognitive Computing and Computer Vision and Deep Learning and Explainable AI and Quantum Computing and Blockchain and Internet of Things and