Senior Palantir Foundry & Data Platform Engineer

Deloitte France; Virginia (MN); On-site; USD 131,000 - 218,000; Full time

Job summary

Deloitte’s AI & Data team is seeking a senior data engineer to design modern data architectures and build scalable pipelines using Palantir Foundry and cloud technologies. You will contribute to enterprise transformation by delivering analytics products and data solutions that drive measurable client impact.

Ideal candidates have 5+ years in data science or data analysis, strong communication skills, and the ability to travel 5–25% to support diverse client engagements.

Qualifications

• Bachelor’s degree required.
• 5+ years of experience in data science, data manipulation, or data analysis.
• 3+ years of experience with Palantir Foundry.
• Ability to obtain and maintain the necessary clearance for this role.
• Willingness to travel 5–25%, depending on client and project.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.

Responsibilities

• Design modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud technologies.
• Build and deploy data engineering solutions supporting enterprise transformation.
• Develop analytics products that transform and operationalize enterprise data.
• Collaborate with cross-functional teams to define requirements and deliver scalable solutions.
• Apply DevOps and statistical programming to improve data quality and performance.

Skills

Independent work

Team collaboration

Written and verbal communication

Attention to detail

Project leadership

Task prioritization

Interpersonal skills

Deadline-focused

Guidance to others

Education

Bachelor’s degree

Tools

Palantir Foundry

Job description

Deloitte’s AI & Data team is seeking a senior data engineer to design modern data architectures and build scalable pipelines using Palantir Foundry and cloud technologies. You will contribute to enterprise transformation by delivering analytics products and data solutions that drive measurable client impact.

Ideal candidates have 5+ years in data science or data analysis, strong communication skills, and the ability to travel 5–25% to support diverse client engagements.