Sr. Data Modeler

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.