Palantir Architect

Job Description

Job Description

One key point to note is that Palantir is the main skill here. Utility domain can be seen as secondary

Job description
We are seeking a seasoned consultant with strong utility domain expertise combined with data platform and AI capabilities (Palantir Foundry & AIP) to drive end-to-end transformation initiatives.
Key Responsibilities
• Leverage deep understanding of the utility value chain, including Meter-to-Cash (M2C), Customer Analytics, and Outage Analytics, to deliver improvements in revenue assurance, customer experience, and grid reliability
• Design and implement ontology-driven data models in Foundry, including defining object types, link types, and action types, and exposing them for downstream applications and AIP use cases
• Develop and manage data pipelines leveraging Foundry's data layer, including datasets, transactions, schema evolution, and incremental vs. snapshot transformations, ensuring data quality and reliability
• Build and operationalize AI-powered solutions using AIP, including Logic, Agents, Assist, and Automate, with function-backed objects and actions
• Apply prompt engineering, evaluation frameworks, and tool/function integration to enable scalable and production-grade AI applications
• Utilize Foundry applications such as Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate to deliver end-to-end data and analytics solutions
• Collaborate with business and technology stakeholders to translate domain requirements into scalable data and AI solutions aligned to business outcomes
• Drive best practices in data governance, lineage, and dataset health management
Preferred Qualifications
• 8–15 years of experience in utilities, data engineering, analytics, or digital transformation programs
• Strong exposure to utility operations and processes (billing, customer engagement, outage management)
• Hands-on experience with Palantir Foundry and/or similar modern data platforms
• Experience in AI/ML and enterprise AI platforms, preferably AIP or equivalent
• Strong problem-solving, stakeholder management, and communication skills