Data Modeler 4C

Ready to turn bold ideas into real-world impact?
 At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. 
 
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job 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.\n Roles and Responsibilities: 1. Design and develop data models for big data applications; 2. Collaborate with data engineers and data scientists to optimize data storage and retrieval; 3. Implement data quality checks to ensure accuracy and reliability of data; 4. Evaluate and recommend data modeling techniques and tools for optimal performance; 5. Troubleshoot data modeling issues and provide timely resolutions; 6. Stay updated on emerging trends and technologies in big data modeling.

 Responsibilities 

• 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. 

Minimum Qualifications 

• 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. 

Qualifications

Certifications

Required Skills

Language

Language Proficiency -

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The approximate annual base compensation range for this position is:

The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

Why join Genpact?
•    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 
 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.  
Let’s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.  
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.