Palantir Engineer

Key Responsibilities
Technical Delivery & Pipeline Ownership
Own end-to-end delivery of Palantir Foundry data pipelines, including ingestion, transformation,
Foundry Rules (Java), and Ontology Object management.
Lead the implementation of AIP Logic automations for requirement extraction, answer matching,
scoring, and LLM-based document processing workflows.
Design and maintain pipeline lineage, schedules, and monitoring to ensure data freshness and
platform reliability.
Build and maintain integration connectors between Foundry and external systems
Salesforce, Snowflake, REST APIs, and media sets.
Manage and troubleshoot compute modules (Docker-based C# programs) used for document
export and Word generation workflows.

Team Leadership & Code Quality
Lead a team of 3 6 developers and data engineers, conducting code reviews, sprint planning,
and technical mentoring.
Define coding standards, branching strategies, pull request processes, and repository hygiene
for Foundry code repositories.
Translate architecture blueprints from Technical Architects into sprint-ready technical tasks with
clear acceptance criteria.
Identify and resolve technical blockers, escalating to Palantir or architecture teams as needed
with well-documented issue descriptions.

Day-2 Support & Operational Excellence
Serve as the technical lead for Day-2 support owning SOP runbooks, triage playbooks, and
on-call readiness for Palantir-based platforms.
Monitor pipeline health, respond to PagerDuty alerts, resolve schema conflicts, credential
failures, and build failures in production environments.
Proactively identify performance bottlenecks (e.g., long-running campaign builds, massive
dataset joins) and drive optimization.
Lead Day-2 support training sessions for new team members and client stakeholders, covering
system architecture, common failure modes, and escalation paths.

Collaboration & Stakeholder Communication
Work directly with Architects to validate technical designs and surface implementation risks
early.
Engage with client technical counterparts and Palantir forward-deployed engineers to align on
platform capabilities and best practices.
Provide clear, concise status updates on delivery progress, blockers, and technical risks to
project leadership.

Technical Skills
Palantir Foundry: Python Transforms, Pipeline Lineage, Schedules, Ontology Object design,
Foundry Rules (Java), Media Sets.
Palantir AIP: AIP Logic, AIP Automations, LLM integration basics, AIP Evals familiarity.
Data Engineering: Data ingestion pipelines, schema management, Spark-based compute,
incremental builds.
Integration: Salesforce, Snowflake, REST APIs, CDO data connection patterns.
Languages: Python (strong), Java (Foundry Rules), SQL (strong); C# or TypeScript a plus.
DevOps: Docker, Git branching, CI/CD for Foundry repositories, code review workflows.