Job Description
Palantir Foundry Consultant
You'll work as a hands-on Palantir Foundry consultant, helping to design, build and support data and application workflows on the platform. You'll work closely with senior Foundry engineers and architects, contribute to technical decisions, and collaborate directly with business stakeholders as you grow into owning areas end-to-end.
Core Responsibilities
Foundry Solution Delivery
* Contribute to solution design and implementation across:
o Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads).
o Ontology modelling (objects, relationships, basic semantics, versioning).
o Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows).
* Implement data modelling and transformation patterns under guidance from senior team members.
* Help configure permissions (RBAC/ABAC), object-level security and auditability following established standards.
* Support CI/CD and environment promotion processes for Foundry artefacts.
Scalability, Reliability & Operations
* Help investigate performance issues (eg parallelisation, partitioning, caching, compute configuration) with mentorship from more senior colleagues.
* Contribute to monitoring, alerting and observability setup for pipelines, applications and integrations.
* Participate in incident response and root cause analysis for platform and application issues.
* Assist in applying non-functional requirements (SLA/SLOs, resilience, backup and recovery) defined by senior engineers.
Client-Facing Engineering & Stakeholder Support
* Join technical discovery sessions to help translate business needs into Foundry use cases.
* Prepare and demo prototypes, data flows and applications to technical and business users.
* Support integration work with existing enterprise systems (data warehouses, APIs, identity providers) under guidance.
Enablement, Collaboration & Standards
* Take part in and later help deliver technical enablement sessions, hands-on labs and onboarding for analysts and power users.
* Share learning, debugging tips and best practices with peers.
* Follow internal standards for code quality, naming conventions, testing and design patterns and contribute improvements as you gain experience.
Required Experience
* Commercial experience working with Palantir Foundry in an implementation, consulting or engineering role.
* Hands-on experience with:
o Building and maintaining Foundry pipelines and/or ontologies.
o Developing or supporting Foundry applications (Workshop, Code Repos, OSDK, Actions).
* Exposure to at least one production Foundry project, contributing to:
o Solution implementation.
o Deployment or promotion through environments.
o Operational support and troubleshooting.
* Experience dealing with:
o Performance issues or optimisation tasks.
o Permissions and basic security models.
o Schema/ontology changes and their impact on downstream use cases.
o Integration problems and incident recovery in collaboration with senior staff.
* Some client-facing experience (eg workshops, demos, requirement sessions or design walkthroughs).
* Any experience helping to train, onboard or support other Foundry users (eg internal sessions, documentation, brown-bag talks) is a plus.
* Familiarity with Foundry's constraints and common pitfalls, and willingness to learn deeper platform internals, limitations and workarounds.
Technical Skills
* Practical experience with core Foundry components such as:
o Pipeline Builder
o Ontology
o Workshop
o Code Repositories
o OSDK/APIs
o Actions and AIP/agentic features
* Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java or similar) for data transformations, services and integrations.
* Solid understanding of core data engineering concepts: batch/stream processing basics, data modelling, data quality and governance.
* Experience (or strong interest) in integrating Foundry with:
o Enterprise identity (SSO, SAML/OIDC)
o REST APIs and services
o Existing data platforms or warehouses
* Familiarity with modern software engineering practices:
o Version control and code review
o Automated testing
o CI/CD pipelines
o Infrastructure-as-code concepts (where applicable)