CloudHive

Lead Palantir Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Palantir Engineer with a 6-month contract, paying $150 - $165 per hour, and is fully remote. Required skills include Palantir Foundry expertise, pipeline development, Agile experience, and strong full-stack capabilities in data engineering.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
165
-
πŸ—“οΈ - Date
June 12, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Remote
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#PySpark #Leadership #Observability #Data Modeling #Spark (Apache Spark) #Documentation #Agile #Scrum #Data Engineering #Palantir Foundry
Role description
Lead Palantir Engineer - Ontology, Workshop, PySpark Location: Remote Contract: 6-months initial contract Rate: $150 - $165 per hour We’re seeking a Lead Palantir Engineer who owns ontology and pipeline design decisions within an assigned Scrum team. You’ll partner closely with the Unified Data Layer (UDL) Architecture function to resolve cross-cutting design questions, ensuring our ontology, pipelines, and data products align with enterprise standards while still meeting product-team delivery needs. The ideal candidate is strong across the full stack, comfortable bridging data modeling, pipeline engineering, and application/service integration, and able to drive technical decisions that balance scale, sustainment, and delivery velocity. Key Responsibilities β€’ Own ontology and pipeline design decisions within your assigned Scrum team, ensuring consistency, correctness, and long-term maintainability β€’ Design, build, and maintain Foundry pipelines using Pipeline Builder and the Code Repository, with appropriate selection based on: β€’ scale and performance requirements β€’ sustainment and operational need β€’ steam conventions and maintainability tradeoffs β€’ Use Foundry Solution Designer to communicate end-to-end solution design in support of Software Development Lifecycle (SDLC) reviews and governance checkpoints β€’ Partner with Unified Data Layer (UDL) Architecture on cross-cutting design questions, including ontology alignment, shared abstractions, integration patterns, and standards β€’ Drive best practices for engineering quality and full-stack implementation, including: β€’ clear interfaces between pipeline components and downstream consumers β€’ pragmatic handling of data contracts and schema evolution β€’ observability, testing strategies, and operational readiness β€’ Provide technical leadership across sprint planning and delivery by: β€’ recommending architectures and patterns β€’ resolving design risks early β€’ mentoring teammates on Foundry engineering approaches and conventions Required Qualifications β€’ Strong hands-on experience with Palantir Foundry engineering, including: β€’ ontology ownership and data modeling practices β€’ pipeline development and maintainability considerations β€’ using Pipeline Builder and Code Repository appropriately β€’ using Foundry Solution Designer for end-to-end design communication β€’ Demonstrated ability to own technical decisions within an Agile/Scrum environment β€’ Proven experience partnering with enterprise architecture functions (e.g., UDL) to resolve cross-cutting issues and ensure alignment β€’ Full-stack strength: comfortable working across the engineering surface area required to ship and operate data-enabled software systems (e.g., integration boundaries, system interfaces, and production concerns) Preferred Qualifications β€’ Experience scaling ontology and pipeline approaches across multiple product areas/teams β€’ Familiarity with SDLC governance patterns, review processes, and technical documentation standards β€’ Experience defining or evolving engineering conventions (templates, patterns, reference implementations) for other teams to follow β€’ Background in data engineering and software engineering best practices (testing, CI/CD concepts, reliability/observability patterns) .