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
About the Role
We
are 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.
This
role 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 scalable
data 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.
Key Responsibilities
Client Engagement & Solution Design
- 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 to
client teams and leadership.
Palantir Foundry Development
- Design, develop, and
maintain robust data pipelines within Palantir Foundry.
- Build and manage Ontology
models, business objects, and relationships to support enterprise-wide use
cases.
- 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 use
cases.
Artificial Intelligence Platform (AIP)
- Design and implement
AI-enabled solutions using Palantir AIP.
- Build and support
AI-driven workflows, operational applications, and decision-support
systems.
- Collaborate with
stakeholders to identify opportunities for incorporating Generative AI and
Large Language Models (LLMs) into business processes.
- Develop and optimize AIP
use cases aligned with business objectives and operational efficiency
goals.
Data Engineering & Integration
- Develop scalable data
solutions utilizing SQL, Python, PySpark, and modern data engineering best
practices.
- Design and implement
ETL/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.
Delivery & Operations
- Deliver end-to-end
solutions from requirements gathering through deployment, testing, and
post-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.
Skills, Knowledge & Experience
- Bachelor's or Master's
degree in Computer Science, Information Systems, Engineering, or a related
technical discipline.
- 2–6 years of experience in
Data Engineering, Software Engineering, Analytics Engineering, or a
related technical role.
- Minimum 1+
years of hands-on experience working with Palantir Foundry in production
environments.
- Experience with
Palantir
AIP 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 analytical,
troubleshooting, and problem-solving abilities.
- Strong stakeholder
management and client-facing communication experience.
Preferred Qualifications
- Experience implementing
enterprise-scale Palantir Foundry solutions.
- Experience with Generative
AI, LLM integrations, AI agents, and intelligent workflow automation.
- Exposure to cloud
platforms such as AWS or Azure.
- Experience working with
Snowflake, Databricks, or modern cloud data platforms.
- Knowledge of data
governance, security, and data management best practices.
- Consulting,
implementation, or customer-facing project experience.
- Experience supporting
Fortune 500 clients or large enterprise environments.
- Exposure to manufacturing,
healthcare, life sciences.
Preferred Certifications
- Palantir Foundry
Certification
- Palantir Data Engineer
Certification
- Palantir AIP Certification
- AWS /Azure Certified Cloud
Practitioner or AWS/Azure Solutions Architect
- Databricks Data Engineer
Associate
This job
description is not intended to cover or contain a comprehensive listing of all
responsibilities, duties, or activities that are required. Responsibilities,
duties, and/or activities may change, or new ones may be added at any time with
or without notice.
If you
are a motivated professional with a passion for delivering impactful solutions,
we'd love to hear from you. Apply today to be part of a dynamic and
forward-thinking team at NextGen Invent.