Senior Data Modeller – DW/BI Architecture (Hybrid)

Staffworxs; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Staffworxs is seeking an experienced Data Modeller to design, develop, and maintain enterprise data models that support business intelligence and analytics. You will translate business requirements into conceptual, logical, and physical models while assuring data quality, governance, and scalability.

Collaborate with analysts, engineers, architects, and stakeholders on data architectures; 5–10 years of experience and hands-on ER modelling tools are a plus.

Qualifications

• Bachelor's or master's degree in computer science, Information Technology, Data Management, or a related field.
• 5–10 years of experience in data modelling, database design, data warehousing, or related roles.
• Experience working on enterprise data platforms and large-scale data projects.
• Experience working in Agile/Scrum environments is preferred.

Responsibilities

• Design, develop, and maintain enterprise data models for BI, analytics, reporting, and operations.
• Translate business requirements into conceptual, logical, and physical models with governance and quality controls.
• Collaborate with analysts, data engineers, architects, DBAs and stakeholders to build scalable data architectures.

Skills

Data modelling

Dimensional modelling

ER modelling

Star schema

Snowflake schema

Normalization

Denormalization

SQL knowledge

Stakeholder collaboration

Education

Bachelor's or Master's in CS/IT/Data Management

Tools

Erwin Data Modeler

ER/Studio

SAP PowerDesigner

Oracle SQL Developer Data Modeler

Lucidchart

Microsoft Visio

Job description

Staffworxs is seeking an experienced Data Modeller to design, develop, and maintain enterprise data models that support business intelligence and analytics. You will translate business requirements into conceptual, logical, and physical models while assuring data quality, governance, and scalability.

Collaborate with analysts, engineers, architects, and stakeholders on data architectures; 5–10 years of experience and hands-on ER modelling tools are a plus.