Data Architect

Data Architect Job 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 1. 5+ years of experience in software engineering or data engineering roles, with at least 2 years working directly with Palantir Foundry. 2. Proficiency in Python, PySpark, SQL, and experience with Foundry Pipelines, Ontology, and Code Workbooks. 3. Strong understanding of data integration patterns, security protocols (SSO, TLS, Zscaler), and f ield-level encryption 4. Experience with cloud platforms (AWS preferred) and enterprise data governance practices. 5. Excellent communication skills and ability to work cross-functionally with technical and non-technical teams. 6. Bachelor's degree Preferred Qualifications 1. Experience with Palantir AIP and Apollo for AI/ML model deployment etc. 2. Familiarity with fraud detection, risk modeling, or financial services data domains. 3. Prior experience in Agile environments with tools like Jira, Confluence, and GitLab. 4. Foundry Certification Exam Guide - Data Engineer, Application Developer 5. building web applications Other details: • Location: Reston • Hybrid, 3 days onsite, 2 days remote • 1st round video interview, 30min • 2nd round in person onsite, 1 hour • Length: 1+ years, long-term • Client: Fintech major