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Sr Data Modeler Jobs in California (NOW HIRING)

Neshent Technologies

We are seeking a Senior Fabric OneLake Data Modeler with strong experience in enterprise data modeling, analytical data warehousing, Microsoft Fabric, OneLake, and modern data architecture. Required ...

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Sr Data Modeler information

What is a Sr Data Modeler?

Sr Data Modelers are experienced professionals responsible for designing, creating, and maintaining data models that define how data is stored, organized, and accessed within an organization. They work closely with business analysts, database administrators, and software developers to ensure that data structures support business processes and analytics needs. Senior Data Modelers play a key role in translating business requirements into technical specifications, optimizing data flow, and ensuring the integrity and security of data. Their expertise helps organizations make better data-driven decisions and achieve efficient data management.

How does a Sr Data Modeler typically collaborate with business analysts and developers during a project?

A Sr Data Modeler often works closely with business analysts to understand the data requirements and translate them into conceptual, logical, and physical data models. They also collaborate with developers to ensure that the database design aligns with application needs and performance standards. Regular meetings, data mapping sessions, and design reviews are common, fostering open communication to address any data integrity or scalability concerns early in the process. This collaborative approach ensures that the final data models are both technically robust and aligned with business goals.

What are the key skills and qualifications needed to thrive as a Sr Data Modeler, and why are they important?

A Sr Data Modeler needs expertise in data modeling concepts, database design, and a strong grasp of SQL, typically backed by a degree in computer science or a related field. Familiarity with tools like ERwin, IBM InfoSphere Data Architect, and experience with relational and NoSQL databases are essential, and certifications in data management can be advantageous. Strong analytical thinking, clear communication, and the ability to collaborate with diverse stakeholders set top performers apart in this role. These skills ensure the creation of scalable, accurate data models that support business intelligence and enable effective decision-making.

What is the difference between Sr Data Modeler vs Data Analyst?

AspectSr Data ModelerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; experience with data modeling toolsBachelor's in Statistics, Data Science, or related; proficiency in data visualization and analysis tools
Work EnvironmentDesigning data structures, creating data models, collaborating with data engineersInterpreting data, generating reports, supporting decision-making
Employer & Industry UsageUsed in data warehousing, BI projects, and database design across industriesApplied in business analysis, marketing, finance, and operations

The main difference is that Sr Data Modelers focus on designing and implementing data structures and models, while Data Analysts interpret data and generate insights. Both roles require strong analytical skills, but Data Modelers are more involved in the technical architecture of data systems.

What are popular job titles related to Sr Data Modeler jobs in California?

For Sr Data Modeler jobs in California, the most frequently searched job titles are:

What job categories do people searching Sr Data Modeler jobs in California look for?

The top searched job categories for Sr Data Modeler jobs in California are:

What cities in California are hiring for Sr Data Modeler jobs?

Cities in California with the most Sr Data Modeler job openings:

Sr Data Modeler jobs near you
Infographic showing various Sr Data Modeler job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Fabric OneLake Data Modeler

Neshent Technologies

Lakewood, CA • On-site

Full-time

Posted 26 days ago

Job description

We are seeking a Senior Fabric OneLake Data Modeler with strong experience in enterprise data modeling, analytical data warehousing, Microsoft Fabric, OneLake, and modern data architecture.

Required Skills
  • 8+ years of enterprise data modeling experience.
  • 5+ years of analytical data warehouse design experience.
  • Strong hands-on experience with Microsoft Fabric and OneLake.
  • Experience with Medallion Architecture and Corporate Information Factory methodologies.
  • Strong SQL and dimensional modeling skills.
  • Experience designing enterprise semantic models and supporting Power BI.
  • Knowledge of MDM, PK/FK design, referential integrity, and data governance.
  • Experience with Lucidchart, ERwin, ER/Studio, or equivalent modeling tools.
Roles & Responsibilities
  • Design and maintain conceptual, logical, and physical enterprise data models.
  • Define facts, dimensions, hierarchies, metrics, relationships, and business entities.
  • Develop reusable canonical data models across enterprise domains.
  • Establish data modeling standards, naming conventions, grain definitions, and metadata practices.
  • Design and govern data models aligned with Fabric, OneLake, and Medallion Architecture.
  • Review and approve data designs and ensure adherence to enterprise standards.
  • Facilitate data modeling workshops and collaborate with Architects, Data Engineers, BI teams, and business stakeholders.
  • Maintain model documentation, governance, and enterprise data standards.
  • Coach Data Engineers and junior team members on data modeling best practices.
  • Support Power BI, semantic models, self-service analytics, AI solutions, and governed reporting.

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