Enterprise Data Solution Architect — Cloud & Hybrid

M&T Bank Corporation; United States; Remote; USD 116,000 - 194,000; Full time

Job summary

M&T Bank Corporation is seeking a Data Solution Architect to design and deliver enterprise-scale data solutions. The role collaborates with architecture, data engineering, security, and business teams to build scalable, secure platforms across cloud, hybrid, and on-premises environments.

The ideal candidate combines architecture and engineering expertise with modern data platforms, APIs, and data movement patterns to support analytics, reporting, and data-driven capabilities.

Qualifications

• Bachelor’s degree or equivalent in a technical field plus 5 years of relevant work experience.
• Experience designing enterprise technology solutions across cloud, hybrid, and on-premises environments.
• Experience in solution, application, data, and integration architecture patterns.
• Industry-recognized cloud/architecture credentials preferred.

Responsibilities

• Collaborate on design, build, test, and deploy technology solutions with Agile teams.
• Develop conceptual, logical, and physical architectures aligned with enterprise standards.
• Design scalable data and cloud solutions supporting analytics and reporting.
• Translate requirements into enterprise-grade architectures for cloud, hybrid, and on-premises platforms.

Skills

Solution architecture

Cloud architecture

Data integration

Security & compliance

Networking concepts

Architecture governance

Agile & DevOps

Technical documentation

Vendor evaluation

Education

Bachelor’s degree

Graduate degree

Tools

Microsoft Azure

AWS

ETL/ELT tools

Job description

M&T Bank Corporation is seeking a Data Solution Architect to design and deliver enterprise-scale data solutions. The role collaborates with architecture, data engineering, security, and business teams to build scalable, secure platforms across cloud, hybrid, and on-premises environments.

The ideal candidate combines architecture and engineering expertise with modern data platforms, APIs, and data movement patterns to support analytics, reporting, and data-driven capabilities.