Collaborate closely with client stakeholders and internal teams, translating solution design into scalable, production‑ready Palantir Foundry implementations.
Design, build, and manage data pipelines in Palantir Foundry to ingest, process, and correlate real‑time data (streaming).
Hands-on Palantir solution architect during implementation, owning the on-the-ground architecture and supporting multiple teams during build-out and delivery.
Develop data assets and transformation logic using PySpark.

Requirements

5-10+ years of experience as a Solutions Architect at a management consulting firm, or in a client-facing role, with proven responsibility for delivering high-impact customer solutions.
5+ years of hands-on experience as a data engineer, designing and developing data pipelines.
Strong experience in Palantir Foundry and PySpark.
Deep experience in streaming data architecture and integrating data from various sources.
Experience creating architectural diagrams, including Sequence Diagrams, Deployment Diagrams, and State Diagrams.
Knowledge of Identity and Access Management (IAM) principles, including Authentication, Login, SSO, and Active Directory integration.
Knowledge of data retention and security best practices.
Bachelor’s degree in computer science or related software engineering field, or equivalent practical experience.
Availability to work between the hours of 8 am and 5 pm Pacific Time (PT).
Ability to travel up to one week per month.

Benefits

Competitive pay 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata pipelinesPalantir FoundryPySparkstreaming data architecturearchitectural diagramsSequence DiagramsDeployment DiagramsState Diagramsdata transformation logic

Soft Skills

collaborationclient-facingproblem-solvingcommunicationleadership