Enterprise Data Architect — Healthcare Analytics & Integrations

Roswell Park Comprehensive Cancer Center; Buffalo (NY); On-site; USD 117,000 - 143,000; Full time

Job summary

Roswell Park Comprehensive Cancer Center is seeking a Systems Architect, Enterprise Data & Integrations, to lead enterprise data architecture, integrations, and analytics initiatives. You will design data pipelines across clinical, financial, HR, and operations systems to ensure trusted data for decision-making.

The role emphasizes data governance, quality assurance, and mentorship, with collaboration across business and technical stakeholders to advance patient care and research initiatives.

Qualifications

• Master’s or Bachelor’s degree with relevant experience in multi-server environments.
• Experience in enterprise data architecture, integrations, and analytics.
• Proven data validation, reconciliation, and quality assurance capabilities.

Responsibilities

• Lead enterprise data architecture, integrations, and data management solutions.
• Design and optimize data pipelines across clinical, financial, HR, and operations.
• Oversee ETL processes ensuring secure and accurate data movement.
• Develop scalable data models, reporting datasets, and semantic layers.
• Collaborate with leaders and stakeholders to deliver data solutions.
• Promote data governance, quality controls, and best practices.

Skills

Data architecture

ETL development

Data modeling

Data governance

BI platforms

Python

PHP

Power BI

Cloud analytics

Healthcare analytics

Education

Master’s degree in computer science or MIS

Bachelor’s degree in computer science or MIS

Tools

Power BI

Microsoft Fabric

StrataJazz

Python

PHP

Job description

Roswell Park Comprehensive Cancer Center is seeking a Systems Architect, Enterprise Data & Integrations, to lead enterprise data architecture, integrations, and analytics initiatives. You will design data pipelines across clinical, financial, HR, and operations systems to ensure trusted data for decision-making.

The role emphasizes data governance, quality assurance, and mentorship, with collaboration across business and technical stakeholders to advance patient care and research initiatives.