
Data Engineer– Palantir
2 days ago
Location:Hybrid (Lahore, Karachi or Islamabad Office - Candidate's Choice)
Experience: 8+ years in Data Architecture, including 3+ years with Ontology Modeling and Palantir Foundry
Type: Full time
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.
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