Job Description
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:
o Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads).
o Ontology modelling (object/relationship design, semantics, versioning).
o 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:
o Solution architecture
o Deployment strategy
o Operational runbook and handover
* Demonstrable enterprise experience with:
o Performance bottlenecks at scale
o Complex permissioning/security models
o Schema and ontology evolution
o 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:
o Platform limitations and edge cases
o Common failure modes
o 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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