Unlocking Business Value through Enterprise-Wide Data Models

8 hours ago

Lahore, Punjab, Pakistan beBeeData Full time 15,000,000 - 25,000,000
Senior Data Architect

Northbay Pakistan is seeking a highly skilled data architect to design, structure, and maintain 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.
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.

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