Senior Product Engineer: AI Data Platforms with Foundry
compunnelLisle (IL)
Senior Product Engineer: AI Data Platforms with Foundry
Posted today
compunnelLisle (IL)
SENIORITY
Lead
About the role
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:
- Cloud Platform Certifications (AWS, Azure, or GCP) – Preferred
- Data Engineering or AI-related Certifications – Preferred
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