Description:
· Lead the end-to-end implementation of Palantir Foundry applications, including ontology modelling, 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
Never miss an opportunity! Create an alert based on the job you applied for.
