Senior Data Architect — IDA, Azure & Databricks

Zohorecruit; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Axiom Path is partnering with a global financial institution to design and implement enterprise data models across Azure and Databricks. The role focuses on building conceptual, logical, and physical data models for analytics, reporting, and data-management initiatives, in a hybrid North Carolina environment.

You will work with data engineers, architects, and analytics teams, using IBM InfoSphere Data Architect to maintain models and ensure alignment with enterprise standards and scalable data

Qualifications

• 10+ years of data modeling and database design experience.
• Strong experience developing conceptual, logical, and physical data models.
• Hands-on experience with IBM IDA / InfoSphere Data Architect.
• Strong understanding of data warehouse architecture and database design principles.
• Experience with Azure data environments and Databricks.

Responsibilities

• Design and optimize conceptual, logical, and physical data models to support enterprise data warehouse needs.
• Translate business and analytical requirements into scalable data models.
• Collaborate with data engineers and analytics teams to implement models in Azure and Databricks.
• Ensure models align with enterprise standards, quality requirements, and data strategy.
• Develop and maintain data-model documentation and diagrams.
• Improve model performance, accessibility, and scalability across platforms.

Skills

Entity data modeling

Data architecture

Azure Databricks

IBM InfoSphere Data Architect

Data warehousing

Tools

IBM IDA / InfoSphere Data Architect

Job description

Axiom Path is partnering with a global financial institution to design and implement enterprise data models across Azure and Databricks. The role focuses on building conceptual, logical, and physical data models for analytics, reporting, and data-management initiatives, in a hybrid North Carolina environment.

You will work with data engineers, architects, and analytics teams, using IBM InfoSphere Data Architect to maintain models and ensure alignment with enterprise standards and scalable data