Forward Deployed Engineer - Palantir

Experience: 2–6 Years

Location: New York / New Jersey

Employment Type: Full-Time

No. of Positions: Multiple

Qualification: Bachelor's Degree or Higher in Computer Science, Engineering, Information Technology, or related field

Work Timings: 8:00 AM EST – 5:00 PM EST

Functional Area: Palantir Foundry | Data Engineering | AI Solutions

Weare seeking a highly motivated Forward Deployed Engineer (FDE) with hands-on experience in Palantir Foundry and Artificial Intelligence Platform (AIP) to work directly with clients in solving complex business challenges through data, analytics, and AI-driven solutions.

Thisrole combines elements of Data Engineering, Software Engineering, Solution Architecture, and Client Consulting. The ideal candidate will partner closely with business and technical stakeholders to understand business requirements, design scalabledata solutions, and deliver impactful applications leveraging the full capabilities of Palantir Foundry and AIP.

The successful candidate will be comfortable operating in client-facing environments, translating business needs into technical solutions, and driving projects from concept through deployment.

• Partner directly with client stakeholders to understand business processes, challenges, and strategic objectives.
• Conduct discovery sessions, solution workshops, and technical discussions with business and technology teams.
• Translate business requirements into scalable, maintainable, and high-impact technical solutions within AI Foundry.
• Present solution architectures, implementation approaches, and technical recommendations toclient teams and leadership.

• Design, develop, and maintain robust data pipelines within
  
  Palantir Foundry.
• Build and manage Ontology models, business objects, and relationships to support enterprise-wide usecases.
• Integrate data from multiple enterprise applications, databases, APIs, and external systems into Foundry.
• Develop complex transformation logic and optimize data workflows for performance,scalability, and reliability.
• Configure and enhance
  
  Foundry applications, operational workflows, and business-facing usecases.

• Design and implementAI-enabled solutions using Palantir AIP.
• Build and supportAI-driven workflows, operational applications, and decision-supportsystems.
• Collaborate with stakeholders to identify opportunities for incorporating Generative AI and Large Language Models (LLMs) into business processes.
• Develop and optimize AIPuse cases aligned with business objectives and operational efficiency goals.

• Develop scalable data solutions utilizing SQL, Python, PySpark, and modern data engineering best practices.
• Design and implementETL/ELT processes and data integration frameworks.
• Ensure data quality,governance, security, and lineage across enterprise data ecosystems.
• Optimize pipeline performance and support high-volume enterprise data processing needs.

• Deliver end-to-end solutions from requirements gathering through deployment, testing, andpost-production support.
• Troubleshoot production issues, perform root-cause analysis, and implement sustainable fixes.
• Collaborate with data engineers, software engineers, architects, product managers, and client stakeholders.
• Create and maintain technical documentation, architecture diagrams, operational procedures,and user guides.
• Contribute to reusable frameworks, accelerators, and best practices across projects.

• Bachelor's or Master'sdegree in Computer Science, Information Systems, Engineering, or a related technical discipline.
• 2–6 years of experience inData Engineering, Software Engineering, Analytics Engineering, or arelated technical role.
• Minimum 1+years of hands-on experience working with Palantir Foundry in production environments.
• Experience with
  
  PalantirAIP and AI-enabled application development.
• Strong expertise in Foundry Pipelines, Ontology Modeling, Data Integration, Data Pipeline Development, Complex Data Transformations and Foundry Applications.
• Experience integrating and managing data from multiple enterprise systems and external data sources.
• Strong SQL skills for data analysis, transformation, and optimization.
• Hands-on programming experience in Python.
• Experience with PySpark,Spark SQL, or distributed data processing frameworks.
• Understanding of APIs,data modeling, ETL/ELT processes, and modern data architecture principles.
• Strong…