
Data Engineer– Palantir
1 week ago
3 weeks ago Be among the first 25 applicants
Location: Remote
Experience: 8+ years in Data Architecture, including 3+ years with Ontology Modeling and Palantir Foundry
Type: Full time
Job Summary
We are seeking a highly skilled Data Architect with deep expertise in Ontology modeling and hands-on experience with Palantir Foundry. The ideal candidate will play a critical role in designing, structuring, and maintaining enterprise-wide data models, ontologies, and semantic layers to support advanced analytics and data-driven decision-making.
Key Responsibilities
- Design and develop enterprise data ontologies to define relationships between business concepts and datasets.
- Architect scalable data solutions using Palantir Foundry, including pipeline design, data lineage, and operational workflows.
- Collaborate with domain experts and stakeholders to model ontologies that align with business semantics and goals.
- Ensure semantic interoperability across different business units and data systems.
- Implement data governance frameworks ensuring consistency, quality, and lineage across all enterprise datasets.
- Lead the integration of structured and unstructured data from multiple sources into the Foundry ecosystem.
- Optimize data architecture for analytics, machine learning, and real-time data exploration.
- Provide guidance on best practices in ontology modeling, knowledge graphs, and metadata management.
- Mentor junior team members and collaborate across cross-functional data engineering and business teams.
- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field.
- 8+ years of experience in data architecture, with a strong understanding of data modeling principles.
- Minimum 3 years of Palantir Foundry hands-on experience including ontology and pipeline development.
- Strong expertise in OWL, RDF, SPARQL, or similar technologies for ontology modeling.
- Deep understanding of semantic modeling, data catalogs, and knowledge graph development.
- Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
- Experience with data integration, ETL/ELT pipelines, and working with large-scale data systems.
- Familiarity with metadata management tools and enterprise data governance frameworks.
- Excellent problem-solving skills and strong communication abilities for cross-functional collaboration.
- Certifications in Palantir Foundry or enterprise data architecture.
- Prior experience in regulated industries (e.g., healthcare, finance, defense).
- Experience with Linked Data, taxonomies, and controlled vocabularies.
- Opportunity to work on cutting-edge semantic data architecture solutions.
- Exposure to Palantir's world-class data platform and next-gen data tools.
- Collaborative and innovative work environment with global impact.
- Competitive compensation and flexible work arrangements.
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesIT Services and IT Consulting
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