Job Summary
We are seeking an experienced Certified Palantir Lead/Architect with strong expertise in Palantir Foundry, data engineering, application development, and scalable data solutions. The ideal candidate will have hands-on experience with SQL, Python, Spark, Hadoop, and TypeScript, along with the ability to design and optimize data pipelines, data models, ontology layers, and analytical applications.
Key Responsibilities
• Design, develop, and optimize scalable data pipelines and workflows using Palantir Foundry.
• Collaborate with stakeholders and cross-functional teams to gather and analyze business requirements.
• Translate business needs into effective technical data solutions leveraging Palantir Foundry.
• Optimize the performance of data transformations and analytical queries.
• Develop and maintain data models, ontology layers, and operational dashboards to support analytics.
• Ensure data quality, integrity, and governance across Palantir-based solutions.
• Utilize Palantir modules such as Contour, Quiver, and Vertex for application development.
• Participate in code repository management and pipeline-building activities.
• Collaborate effectively with offshore teams to support data solution delivery.
• Stay current with Palantir platform updates, features, and best practices.
• Continuously improve data engineering, application development, and governance practices.
Required Qualifications
• Strong knowledge of SQL, Python, Spark, and Hadoop.
• Hands-on experience with Python, Spark, and TypeScript for data processing and application development.
• Strong experience with Palantir Foundry and scalable data pipeline and workflow development.
• Experience optimizing data transformations and analytical queries for performance.
• Experience developing and maintaining data models, ontology layers, and dashboards.
• Working knowledge of Palantir modules including Contour, Quiver, and Vertex.
• Strong understanding of data quality, integrity, and governance principles.
• Experience collaborating with cross-functional stakeholders and distributed/offshore teams.
• Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
• Workshop Level 4.
• Quiver Level 4.
• AIP Level 3.
• Pipeline Builder Level 3.
• Code Repository Level 3.
• PySpark Level 3.
• Ontology Level 3.
