Data Architect – Ontology & Palantir Foundry

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields., At least 8 years of experience in data architecture and modeling., Minimum 3 years of hands-on experience with Palantir Foundry, including ontology development., Strong expertise in ontology modeling technologies like OWL, RDF, and SPARQL..

Key responsibilities:

  • Design and develop enterprise data ontologies to define relationships between concepts.
  • Architect scalable data solutions using Palantir Foundry, including pipelines and data lineage.
  • Collaborate with stakeholders to model ontologies aligning with business goals.
  • Implement data governance frameworks ensuring data quality and consistency.

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NorthBay Solutions SME http://www.northbaysolutions.com/
201 - 500 Employees
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Job description

Location: India (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.


Required Skills & Qualifications:
  • 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.


Preferred Qualifications:
  • 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.


Why Join Us?
  • 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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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