Senior Product Engineer: AI Data Platforms with Foundry

Compunnel Inc.; Lisle (IL); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Compunnel, Inc. seeks a Senior Product Engineer to design and deliver scalable data products, AI-driven applications, and enterprise analytics at the forefront of data-driven solutions.

You will work hands-on with Palantir Foundry, ontology modeling, and data product development to drive business value. Responsibilities include building end-to-end data pipelines, maintaining data quality, and collaborating with stakeholders in an Agile environment to translate business needs into robust

Qualifications

• Hands-on Palantir Foundry experience is required.
• Strong knowledge of ontology modeling and semantic data structures.
• Experience building Palantir data pipelines and Foundry data engineering capabilities.
• Proficiency in Python and data analysis for enterprise analytics.
• Familiarity with Agile development environments.

Responsibilities

• Design, develop, and deploy end-to-end data products using Palantir Foundry.
• Build and optimize ontology objects, semantic models, and data relationships in Foundry.
• Develop scalable data pipelines and AI-powered applications.
• Translate business requirements into technical solutions with stakeholders.
• Ensure data quality, governance, and performance across solutions.
• Provide architectural guidance and support Agile delivery teams.

Skills

Palantir Foundry

Ontology modeling

Semantic data structures

Palantir Data Engineering

Foundry data pipelines

AI-driven applications

Python

Data Analysis

Dimensional data modeling

Data architecture & integration

Enterprise analytics

Agile methodologies

Cloud certifications

Data Engineering certifications

Education

Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field

Job description

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