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Data Modeller with Pharma / Life science Exp is a must

Infodyne SolutionsSouth San Francisco, CA🇺🇸United StatesPosted Sep 22, 2026

Why This Role Stands Out

Leverage your extensive pharma/life sciences experience to design critical data models within a reputable healthcare company, offering a competitive hourly rate and a hybrid work environment in SFO. This role is ideal for a seasoned Data Modeller eager to contribute to impactful projects and further develop their skills in data architecture. Apply today to explore this exciting mid-senior opportunity!

Quick Overview

Salary
$60/hr
Seniority
Mid Senior
Work mode
On Site
Location
South San Francisco, CA, United States
Posted
18 hours ago

Job Description

Data Modeller with Pharma / Life science Exp is a must

Location: hybrid at SFO, California

Experience level: 10 + years

Duration: 12 months Extension

Rate: $60/Hr

We are looking for an experienced Data Modeller to design, develop, and maintain enterprise data models that support business intelligence, analytics, reporting, and operational applications. The role involves translating business requirements into conceptual, logical, and physical data models while ensuring data quality, consistency, scalability, and governance.

The Data Modeller will work closely with Business Analysts, Data Engineers, Solution Architects, Database Administrators, and business stakeholders to create robust and scalable data architectures.

Key Responsibilities:

Data Modelling

Strong understanding of Conceptual, Logical, and Physical Data Modelling.

Strong knowledge of Relational Data Modelling and ER Modelling.

Experience with Dimensional Data Modelling.

Good understanding of normalization and denormalization techniques.

Experience designing Star and Snowflake schemas.

Understanding of slowly changing dimensions (SCD), fact tables, dimension tables, and surrogate keys.

Database & SQL

Strong SQL skills.

Good knowledge of relational databases such as:

PostgreSQL

Oracle

SQL Server

MySQL

Snowflake

Understanding of database performance, indexing, partitioning, and query optimization.

Knowledge of database constraints and referential integrity.

Data Warehousing & Cloud

Experience with data warehouse and data lake concepts.

Understanding of ETL/ELT processes and data integration.

Experience with one or more cloud data platforms such as:

AWS

Microsoft Azure

Google Cloud Platform

Exposure to platforms such as Snowflake, Databricks, Azure Synapse, BigQuery, or Amazon Redshift is desirable.

Data Modelling Tools

Experience with one or more of the following:

Erwin Data Modeler

ER/Studio

SAP Power Designer

Oracle SQL Developer Data Modeler

Sparx Enterprise Architect

Lucid chart

Microsoft Visio

Education & Experience

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.

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