Palantir
Interview Prep

Palantir's Forward Deployed Engineers (FDEs) regularly parachute into new industries — healthcare, defense, finance, energy — and need to develop genuine domain expertise quickly. Describe the domain gap, how you approached learning it (who you talked to, what you read, how you validated your understanding), and how fast you were able to contribute meaningfully.

Palantir clients come with messy, ill-defined problems ('our analysts spend too much time on data preparation') rather than clear engineering requirements. Walk through how you scoped the problem: what questions you asked to move from vague problem statement to specific, solvable technical requirement, how you validated your framing with stakeholders, and what you built.

Palantir Foundry's core value proposition is integrating data from dozens of incompatible sources into a unified operational picture. Describe the sources (what systems, what formats, what quality issues), the integration challenges (schema conflicts, missing keys, inconsistent semantics, latency requirements), what you built, and what became possible that wasn't before.

Palantir's work spans defense, intelligence, law enforcement, and public health — ethically charged domains. Show you've thought seriously about this: what oversight mechanisms you believe are important, how you'd raise an ethical concern if you had one about a use case, what Palantir's role should be vs. the responsibility of their clients, and what your personal ethical line is.

Palantir's purpose is decision augmentation — helping analysts, operators, and executives make better decisions faster. Describe the decision the organization was trying to make, what information they were working with before your software, what you built, and how it changed their decision quality or speed. Quantify the decision impact.

Palantir FDEs are embedded with clients — sitting next to analysts, operators, and executives. Describe your user discovery process: how you observed the work (shadowing, workflow mapping), what gaps you identified that users hadn't articulated, how you translated observations into requirements, what you built, and whether users actually adopted it.

Palantir handles classified intelligence, health records, financial data, and law enforcement information. Walk through the data sensitivity requirements, how you designed the access control model (who could see what, under what conditions), the audit logging approach, how you tested and validated the security model, and what governance processes you put in place.

This is Palantir Foundry's core use case. Walk through your approach: 1) Data inventory and quality assessment for all 15 sources, 2) Ontology design (what are the core entities — people, assets, events — and how do they relate?), 3) Integration pipeline prioritization (which sources are most critical to the primary decision use case?), 4) User interface design for operators, 5) Feedback loop for improving data quality. Drive to what value you'd show in 90 days.