Job Description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Sr. Data Modeler to join our innovative and dynamic team.


Sr. Data Modeler | About You


As a Sr. Data Modeler, you are responsible for designing and governing high-quality, scalable data models that bridge business needs with technical implementation. You bring deep experience translating complex, enterprise-level requirements into conceptual, logical, and physical data models that support analytics, reporting, and operational workloads. You thrive at the intersection of data architecture, governance, and system optimization, ensuring data is secure, reliable, and fit for purpose. You collaborate closely with business, analytics, and engineering teams to align data strategy with organizational goals. You are detail-oriented, strategic-minded, and committed to building data foundations that support long-term growth and compliance.


Sr. Data Modeler | Day-to-Day

• Design and maintain conceptual, logical, and physical data models that support enterprise data and analytics initiatives.
• Analyze and optimize existing data models, databases, and pipelines to improve performance, scalability, and data usability.
• Partner with business and technical stakeholders to translate requirements into standardized data structures and definitions.
• Support data strategy and governance initiatives, including data quality standards, metadata management, and documentation.
• Design and guide data migration and integration efforts, moving data from legacy systems to modern platforms.
• Assist with implementing security, privacy, and compliance requirements, including access controls and regulatory standards such as GDPR or HIPAA.

• 7+ years of experience in data modeling, data architecture, or enterprise data management roles.
• Strong proficiency in SQL and hands-on experience with data modeling tools such as ERwin, Visio, or similar platforms.
• Experience working with cloud data platforms (AWS, Azure, or Google Cloud) alongside traditional RDBMS technologies (Oracle, SQL Server).
• Strong understanding of data warehouse design, dimensional modeling, and ETL/ELT processes.
• Experience supporting data governance, metadata management, and data quality initiatives in enterprise environments.
• Familiarity with Big Data technologies and modern data processing architectures is preferred.

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