Job Description

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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