Palantir Data Engineer

Responsibilities • Provide F-F support and mentoring for site users on Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic, AIP Agent Studio, etc. • ad-hoc mentoring sessions with users • Regular Office Hours for drop-in sessions (weekly) • Regular Lunch n Learn (or similar) sessions (monthly) • Coordinate with central teams on onsite training and hackathons • Build and run campaign on targeted Palantir Applications to develop deep expertise at site (eg Workshop, AIP) • Issue management: responsible for tracking and following up on site-specific Palantir support tickets through to resolution. • Site testing: participate in Beta/Early Access testing for centrally developed Palantir Applications (or site applications promoted to central managed). • Data quality management and governance: responsible for tracking and following up on Palantir Ontology/Dataset related issues raised at site but not addressed by regular Palantir support ticket. Liaise with central team for data editing permissions and data quality metrics/KPIs. • Develop ‘site Palantir skills development plan’ for the site; 12 month roadmap of departments/users for targeted skills development campaign. Includes understanding of current platform utilization and agree targets with site LT. • R&D – develop documented and re-usable examples of how specific Palantir Applications could be useful for the site with actual data; site users can follow to build their own applications. Experience • Expertise in key Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic and AIP Agent Studio. • Expertise in the Palantir ecosystem: understanding role of Ontology, Datasets, code repositories and how permissions are managed in the platform. • Knowledgeable in best practices for building and scaling applications developed in Palantir Foundry, including code repositories and branching. • Useful: programming (Python and/or typescript, SQL) • Useful: knowledge of the refining/downstream business • Excellent soft skills – working with end-users and teaching small groups on technology