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 include designing and developing enterprise data ontologies to define relationships between business concepts and datasets.
The candidate will architect scalable data solutions using Palantir Foundry, including pipeline design, data lineage, and operational workflows.
Collaboration with domain experts and stakeholders to model ontologies that align with business semantics and goals is essential.
The role involves ensuring semantic interoperability across different business units and data systems.
Implementing data governance frameworks to ensure consistency, quality, and lineage across all enterprise datasets is required.
The candidate will lead the integration of structured and unstructured data from multiple sources into the Foundry ecosystem.
Optimizing data architecture for analytics, machine learning, and real-time data exploration is a key responsibility.
Providing guidance on best practices in ontology modeling, knowledge graphs, and metadata management is expected.
Mentoring junior team members and collaborating across cross-functional data engineering and business teams is part of the role.
Requirements:
A Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field is required.
The candidate must have 8+ years of experience in data architecture, with a strong understanding of data modeling principles.
A minimum of 3 years of Palantir Foundry hands-on experience, including ontology and pipeline development, is necessary.
Strong expertise in OWL, RDF, SPARQL, or similar technologies for ontology modeling is required.
A deep understanding of semantic modeling, data catalogs, and knowledge graph development is essential.
Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala) is required.
Experience with data integration, ETL/ELT pipelines, and working with large-scale data systems is necessary.
Familiarity with metadata management tools and enterprise data governance frameworks is required.
Excellent problem-solving skills and strong communication abilities for cross-functional collaboration are essential.
Benefits:
The position offers the opportunity to work on cutting-edge semantic data architecture solutions.
There is exposure to Palantir’s world-class data platform and next-gen data tools.
The work environment is collaborative and innovative, with a global impact.
Competitive compensation and flexible work arrangements are provided.