Palantir Architect

TekCommands Inc
Houston, TX, United States
30 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Software Applications Data Architecture Information Engineering Data Governance Machine Learning Enterprise Data Management Software Repository Cloud Platform System System Availability
+3 more
Build Management Data Management Data Pipelines

Job description

We are seeking an experienced Palantir Architect with strong expertise in Palantir Foundry and Palantir AIP to lead enterprise data and AI transformation initiatives. The ideal candidate will have hands-on experience designing data platforms, building AI-powered solutions, and delivering scalable analytics solutions. Experience in the Utilities domain is preferred but secondary to Palantir expertise. Key Responsibilities Design and implement ontology-driven data models in Palantir Foundry, including object types, link types, and action types. Develop, manage, and optimize data pipelines using Foundry datasets, transactions, schema evolution, and incremental transformations. Build and deploy AI-powered applications using Palantir AIP, including Logic, Agents, Assist, and Automate. Develop scalable data and AI solutions that support business objectives. Utilize Foundry tools such as Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate. Collaborate with business stakeholders, architects, and engineering teams to translate business requirements into technical solutions. Implement best practices for data governance, lineage, data quality, and platform reliability. Support enterprise digital transformation initiatives by delivering modern data platform solutions. Required Skills

Requirements

Strong hands-on experience with Palantir Foundry (Primary Skill). Experience building solutions using Palantir AIP. Strong knowledge of data engineering, data modeling, and enterprise data platforms. Experience designing scalable data pipelines and analytics solutions. Understanding of AI/ML concepts and enterprise AI applications. Strong problem-solving, analytical, and communication skills. Ability to work with cross-functional business and technical teams. Preferred Skills Experience in the Utilities domain. Knowledge of Meter-to-Cash (M2C), Customer Analytics, and Outage Analytics. Experience with enterprise digital transformation programs. Exposure to cloud-based data platforms and modern analytics architectures. Experience 8 15 years of experience in Data Engineering, Data Architecture, Analytics, or Digital Transformation. Proven experience delivering enterprise-scale Palantir Foundry implementations.

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