Enterprise Data Architect

Position: Enterprise Data Architect Location: Reston, VA - ONSITE Duration: Long Term Description: • Lead the end-to-end implementation of Palantir Foundry applications, including ontology modeling, pipeline development, and operational dashboards. • Collaborate with internal stakeholders and Palantir engineers to define MVPs, red-flag logic, and iterative delivery milestones • Build and optimize data pipelines using PySpark, Python, and Foundry Code Workbooks to ingest and transform structured and unstructured data • Integrate Foundry with enterprise systems such as AWS Data Lake, and external APIs (e.g., LexisNexis, TREPP) • Develop and maintain secure data exchange mechanisms (e.g., SFTP PUSH/PULL, SSH endpoints) for high-volume document transfers • Support Foundry GenAI chatbot capabilities and real-time analytics for fraud investigations and compliance workflows Required Qualifications • 5+ years of experience in software engineering or data engineering roles, with at least 2 years working directly with Palantir Foundry. • Proficiency in Python, PySpark, SQL, and experience with Foundry Pipelines, Ontology, and Code Workbooks. • Strong understanding of data integration patterns, security protocols (SSO, TLS, Zscaler), and field-level encryption • Experience with cloud platforms (AWS preferred) and enterprise data governance practices. • Excellent communication skills and ability to work cross-functionally with technical and non-technical teams. • Bachelor's degree Preferred Qualifications • Experience with Palantir AIP and Apollo for AI/ML model deployment etc. • Familiarity with fraud detection, risk modeling, or financial services data domains. • Prior experience in Agile environments with tools like Jira, Confluence, and GitLab. • Foundry Certification Exam Guide - Data Engineer, Application Developer