Sr. Data Modeler 4D

Sr. Data Modeler

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 Sr. Data Modeller role involves designing and implementing complex data models to support big data initiatives within an organization. The role requires expertise in data modeling, data architecture, and big data technologies. Roles and Responsibilities: 1. Develop and implement data models for big data projects; 2. Collaborate with data scientists and engineers to optimize data models for performance and scalability; 3. Analyze and interpret complex data sets to derive insights and drive decision-making; 4. Define data modeling best practices and ensure adherence to data standards and guidelines; 5. Work closely with cross-functional teams to understand business requirements and translate them into data models; 6. Stay up-to-date with emerging trends in big data technologies and recommend innovative solutions for data modeling challenges.

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. 

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Certified Data Management Professional - RiversandRiversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures TechnologiesTechieventures Technologies, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Oracle Database 12c Administrator Certified Associate - OracleOracle

Required Skills

Aerospace Manufacturing, Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Data Engineering, Design Thinking, DevOps, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Insurance, Internet Businesses, Life Science, Machine Learning {+ 15 more}

Language

English (Required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Remote

Work Shift -

Any (United States of America)

The approximate annual base compensation range for this position is:

80,000 to 100,000 USD

“Los Angeles California-based candidates are not eligible for this role”

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.