Position: Enterprise Architect
Location: Reston VA
Hybrid 3 days in office/2 days remote
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.
- Bachelors 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
please share profile to thulasiram at kmmtechnologiescom