Enterprise Architect - Revenue & SaaS Systems

International Business Machines Corporation; Poughkeepsie (AR); On-site; USD 150,000 - 210,000; Full time

Job summary

International Business Machines Corporation (IBM) seeks an Enterprise Architect to define end-to-end architecture for Confluent Business Systems, aligning business strategy with enterprise applications, data platforms, and integration patterns.

You will lead roadmaps across the quote-to-cash value stream, collaborating with Finance, Sales, Product, and Engineering, and mentoring teams to ensure data quality and scalable, compliant solutions.

Qualifications

• 10+ years of experience in enterprise architecture or related roles.
• Proven track record delivering end-to-end architectures across quote-to-cash, order-to-cash, revenue operations.
• Deep fluency in SaaS applications, APIs, data modeling, and cloud-based platforms.
• Experience with consumption-based, usage-based, or subscription billing models.
• Experience with CRM, CPQ, ERP systems like Salesforce, NetSuite.

Responsibilities

• Define end-to-end enterprise architecture vision and multi-year roadmaps.
• Design scalable flows from customer acquisition through billing and revenue accounting.
• Mentor BSAs and engineers; promote best practices across the organization.
• Collaborate with cross-functional leaders to align strategy and execution.

Skills

Enterprise architecture

SaaS

Systems integration

APIs

Event-driven architecture

Data modeling

Data pipelines

Cloud platforms

Architecture roadmaps

Business outcomes

Education

Master's Degree

Tools

Metronome

Salesforce

CPQ

NetSuite

Job description

International Business Machines Corporation (IBM) seeks an Enterprise Architect to define end-to-end architecture for Confluent Business Systems, aligning business strategy with enterprise applications, data platforms, and integration patterns.

You will lead roadmaps across the quote-to-cash value stream, collaborating with Finance, Sales, Product, and Engineering, and mentoring teams to ensure data quality and scalable, compliant solutions.