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Data Modeler
Location
United States
Posted
3 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Modeler
BrightClaim
Role Description The Big Data Data Modeller plays a crucial role in designing, implementing, and maintaining data models for big data systems, ensuring efficient data processing and analysis. - Design and develop data models for big data applications. - Collaborate with data engineers and data scientists to optimize data storage and retrieval. - Implement data quality checks to ensure accuracy and reliability of data. - Evaluate and recommend data modeling techniques and tools for optimal performance. - Troubleshoot data modeling issues and provide timely resolutions. - Stay updated on emerging trends and technologies in big data modeling. - Design, extend, and govern ontologies in OWL; develop schema, patterns, and modular models for reuse and scale. - Author SPARQL queries for data access, analytics enablement, and quality checks. - Define SHACL shapes for data validation; integrate validation into CI/CD and pipeline checkpoints. - Work with product owners and SMEs to convert competency questions and business requirements into semantic models and graph queries. - Curate and harmonize biomedical vocabularies (e.g., OBO Foundry, SIO, EBI) and align with enterprise data mappings. - Collaborate with data engineers to implement pipelines (e.g., Pandas, PySpark) for semantic enrichment, mapping, validation, and graph/warehouse loads. - Create and maintain semantic data dictionaries for mapping and transformation design and integrate with platforms such as Snowflake or Databricks when applicable. - Establish modeling guidelines, review processes, and versioning with Git. - Develop reference implementations, standards, and enablement artifacts for broader reusability. - Lead client workshops, solution design, and incremental delivery. - Mentor junior team members and contribute to proposals, POVs, and accelerators. Qualifications - Bachelors - Business Analytics - Bachelors - Computer Science - Bachelors - Statistics - Masters - Data Science Requirements - Hands-on expertise with OWL, SPARQL, and SHACL (portfolio, repos, or samples welcome). - Proven experience applying biomedical ontologies; strong plus for OBO Foundry resources and SIO. - Proficiency with Python for data wrangling and pipeline integration; familiarity with CI/CD and Git workflows. - Demonstrated ability to translate business questions into semantic models and graph queries. - Strong consulting skills: stakeholder engagement, solution storytelling, and workshop facilitation. Benefits - Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter. - Make an impact – Help global enterprises solve business challenges that matter. - Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead. - Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day. - Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.
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