Palantir Foundry Lead Consultant

Palantir Foundry Lead Consultant - Lead architect and hands-on technical owner for Palantir Foundry implementations. You will design and build production-grade data and application workflows on Foundry, own technical decisions end-to-end and work directly with senior stakeholders while mentoring engineering teams.

Core Responsibilities

Foundry Solution Architecture & Build

• Own end-to-end solution design across:
• Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads).
• Ontology modelling (object/relationship design, semantics, versioning).
• Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows).
• Define and implement patterns for data modelling, transformation, and lineage tracking.
• Design permission models (RBAC/ABAC), object-level security and auditability.
• Implement CI/CD and environment promotion strategies for Foundry artefacts.

Scalability, Reliability & Operations

• Lead performance tuning for large-scale production deployments (eg parallelisation, partitioning, caching, compute configuration).
• Design monitoring, alerting and observability for pipelines, applications and integrations.
• Handle incident response and root cause analysis for platform and application issues.
• Define and enforce non-functional requirements (SLA/SLOs, resilience, disaster recovery).

Client-Facing Engineering & Stakeholder Management

• Run technical discovery with senior stakeholders to translate business needs into concrete Foundry use cases.
• Present architectures, trade-offs and risk assessments to both technical teams and C-suite.
• Provide technical guidance on integration with existing enterprise systems (data warehouses, message buses, APIs, identity providers).

Enablement, Mentoring & Standards

• Design and deliver technical bootcamps, hands-on labs and enablement plans for engineers, analysts and power users.
• Mentor engineers on Foundry internals, best practices, and debugging strategies.
• Contribute to and enforce internal standards: code quality, naming conventions, testing strategies, pipeline/app design patterns.

Required Experience

• Extensive experience working with Palantir, ideally as a Forward Deployed Engineer or equivalent implementation role.
• Multiple large-scale Foundry implementations in production, with direct ownership of:
• Solution architecture
• Deployment strategy
• Operational runbook and handover
• Demonstrable enterprise experience with:
• Performance bottlenecks at scale
• Complex permissioning/security models
• Schema and ontology evolution
• Integration failures and incident recovery
• Strong client-facing track record with senior stakeholders and C-suite, including technical steering sessions and design reviews.
• History of teaching, mentoring or training engineers or mixed-ability teams on Foundry (eg bootcamps, internal academies, onboarding programmes).
• Exposure to Palantir product teams and a deep understanding of:
• Platform limitations and edge cases
• Common failure modes
• Practical workarounds and design patterns to avoid them

Technical Skills

• Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features.
• Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java, or similar) for transformations, services, and integrations.
• Solid background in data engineering concepts: batch/stream processing, data modelling, data quality, and governance.
• Experience integrating Foundry with enterprise identity (SSO, SAML/OIDC), APIs, and existing data platforms.
• Familiarity with modern software engineering practices: version control, code review, automated testing, CI/CD, infrastructure-as-code (where applicable).

Profile

• Deep technical but pragmatic: optimises for correctness, reliability and maintainability under real-world constraints.
• Systems thinker: able to model complex domains and understand end-to-end data and control flows.
• Clear communicator: can move seamlessly between low-level detail and high-level architecture with different audiences.
• Enjoys debugging hard problems, documenting patterns, and building repeatable, reusable solutions.

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