Über
The ideal candidate will be responsible for designing, building, and operating scalable data platforms and analytics solutions using Palantir Foundry. This role requires close collaboration with business stakeholders, data scientists, and engineering teams to transform raw data into actionable insights while ensuring data governance, security, and optimal performance. Experience Required: 10 years of overall design, development in data engineering / data analytics experience 5 years of strong, hands-on experience with Palantir Foundry Proven experience leading end-to-end delivery of Foundry solutions, from design to production support Technical Expertise: Advanced experience with Palantir Foundry Pipelines, Transforms, Ontology modeling, and Code Repositories Strong coding skills in Python, SQL, and PySpark Experience designing and managing large-scale, complex data models and transformations Ability to optimize data pipelines for performance, scalability, and cost Strong understanding of data governance, lineage, security, and access controls in Foundry Senior-Level Responsibilities: Lead solution design and provide technical direction for Foundry implementations Translate business requirements into scalable technical solutions Mentor junior developers and review code for quality and best practices Collaborate closely with business stakeholders, data scientists, and engineering teams Drive adherence to Agile/Scrum methodologies and SDLC best practices Nice to Have: Experience deploying and operationalizing machine learning models in Palantir Foundry Knowledge of cloud platforms (AWS, Azure, or GCP) Exposure to Palantir AIP, Apollo, and Foundry DevOps workflows Experience working in regulated industries (Healthcare, Life Sciences, Finance, Defense, Manufacturing) Certifications (Optional): Palantir Foundry Certification Cloud certifications (AWS / Azure / GCP)
Sprachkenntnisse
- English
Hinweis für Nutzer
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