
Data Engineer– Palantir
1 week 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.
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Architect scalable data solutions using Palantir Foundry, including pipeline design, data lineage, and operational workflows.
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Collaborate with domain experts and stakeholders to model ontologies that align with business semantics and goals.
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Ensure semantic interoperability across different business units and data systems.
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Implement data governance frameworks ensuring consistency, quality, and lineage across all enterprise datasets.
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Lead the integration of structured and unstructured data from multiple sources into the Foundry ecosystem.
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Optimize data architecture for analytics, machine learning, and real-time data exploration.
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Provide guidance on best practices in ontology modeling, knowledge graphs, and metadata management.
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Mentor junior team members and collaborate across cross-functional data engineering and business teams.
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Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field.
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8 years of experience in data architecture, with a strong understanding of data modeling principles.
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Minimum 3 years of Palantir Foundry hands-on experience including ontology and pipeline development.
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Strong expertise in OWL, RDF, SPARQL, or similar technologies for ontology modeling.
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Deep understanding of semantic modeling, data catalogs, and knowledge graph development.
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Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
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Experience with data integration, ETL/ELT pipelines, and working with large-scale data systems.
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Familiarity with metadata management tools and enterprise data governance frameworks.
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Excellent problem-solving skills and strong communication abilities for cross-functional collaboration.
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Certifications in Palantir Foundry or enterprise data architecture.
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Prior experience in regulated industries (e.g., healthcare, finance, defense).
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Experience with Linked Data, taxonomies, and controlled vocabularies.
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Opportunity to work on cutting-edge semantic data architecture solutions.
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Exposure to Palantir's world-class data platform and next-gen data tools.
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Collaborative and innovative work environment with global impact.
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Competitive compensation and flexible work arrangements.
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