Senior Product Engineer

JOB SUMMARY


We are seeking a highly skilled Senior Product Engineer with expertise in Palantir Foundry and Artificial Intelligence (AI) to design, develop, and deliver scalable data products, AI-powered applications, and enterprise analytics solutions. The ideal candidate will have hands-on experience with Palantir Foundry, Ontology modeling, data engineering, and data product development while driving business value through innovative, data-driven solutions.


KEY RESPONSIBILITIES


• Design, develop, and deploy end-to-end data products using Palantir Foundry.


• Build, manage, and optimize ontology objects, semantic models, and data relationships within Foundry.


• Develop and maintain scalable data pipelines and AI-powered applications.


• Translate business requirements into technical solutions through close collaboration with stakeholders.


• Create robust and efficient data engineering workflows to support enterprise analytics initiatives.


• Monitor, maintain, and optimize Foundry-based applications and data products.


• Lead technical discussions, provide architectural guidance, and support Agile delivery teams.


• Ensure data quality, governance, performance, and scalability across solutions.


• Drive continuous improvement and adoption of best practices for data and AI product development.


REQUIRED QUALIFICATIONS


• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.


• Strong hands-on experience with Palantir Foundry.


• Proven expertise in Ontology modeling and semantic data structures.


• Experience with Palantir Data Engineering capabilities and Foundry data pipelines.


• Strong experience in AI-driven application and data product development.


• Proficiency in Python programming.


• Experience in Data Analysis and Dimensional Data Modeling.


• Strong understanding of data architecture, data integration, and enterprise analytics.


• Excellent problem-solving, communication, and stakeholder management skills.


• Experience working within Agile development environments.


PREFERRED QUALIFICATIONS


• Experience with ETL Testing and Data Warehouse Testing.


• Exposure to machine learning and advanced analytics solutions.


• Experience delivering enterprise-scale data platforms and AI solutions.


• Familiarity with cloud-based data ecosystems and modern data engineering practices.


CERTIFICATIONS


• Palantir Foundry Certification (Preferred)


• Cloud Platform Certifications (AWS, Azure, or GCP) - Preferred


• Data Engineering or AI-related Certifications - Preferred