Enterprise Data Architect

6 hours ago

Karachi, Sindh, Pakistan beBeeData Full time 15,000,000 - 25,000,000

Job Opportunity

We are seeking a highly skilled Data Architect with deep expertise in ontology modeling and hands-on experience with data architecture tools. 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 decision-making.

Key Responsibilities
  • Design and develop enterprise data ontologies to define relationships between business concepts and datasets.
  • Architect scalable data solutions using data architecture tools, 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 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 hands-on experience with data architecture tools including ontology and pipeline development.
  • Strong expertise in ontology modeling and data integration.
  • 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 data architecture or enterprise data governance.
  • Prior experience in regulated industries (e.g., healthcare, finance, defense).
  • Experience with Linked Data, taxonomies, and controlled vocabularies.

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