PalantirDataPipeline&MetadataLead

**_Job Family_ :** Data Engineering & Architecture Consulting ** _Travel Required_ :** Up to 25% **_Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_ :** This role serves as a senior technical leader responsible for establishing and scaling the data pipeline and metadata foundation that enables enterprise analytics, AI-driven capabilities, and system integration. The ideal candidate combines deep, demonstrable Palantir (including AIP) expertise, strong data architecture and governance experience, and the ability to lead teams and grow capabilities in complex, regulated environments. **Roles & Responsibilities** * Lead the design, development, and governance of enterprise data pipelines and metadata frameworks within Palantir Foundry and integrated data platforms. * Serve as the technical and functional lead for data ingestion, transformation, and metadata management across structured and unstructured data sources. * Define and enforce metadata standards, data models, ontologies, and data dictionaries to enable scalable search, analytics, and cross-system integration. * Oversee implementation of end-to-end data pipelines, including ingestion, validation, transformation, and delivery into downstream platforms (e.g., Palantir, Databricks). * Establish and govern data quality, validation, and exception handling processes, ensuring completeness, accuracy, and traceability of data assets. * Ensure alignment of pipelines and metadata with enterprise architecture, system-of-record requirements, and integration patterns. * Ensure pipelines effectively support document-based ingestion workflows, including integration with OCR/ICR outputs and downstream metadata extraction processes. * Enable AI-ready data foundations, supporting downstream capabilities such as semantic search, entity resolution, and advanced analytics. * Partner with data science and engineering teams to ensure data pipelines and metadata support AI/ML use cases and analytical workf