Lead Software Engineer, Workday Finance Integrations

We are seeking a self-directed, visionary technical leader to serve as a Lead Software Engineer within the DET IT Finance Engineering team. This role sits at the intersection of enterprise finance systems, integration engineering, AI-powered tooling, and cloud platforms. You will set the technical direction for Workday Finance and MuleSoft integration solutions, champion AI adoption across the engineering lifecycle, and bring cloud-native thinking (AWS/GCP) to how we design, operate, and evolve our platforms.

- Define and govern end-to-end architecture for Workday Financials, Accounting Center, and enterprise integration platforms, setting engineering standards for quality, security, and scalability

- Architect and deliver secure, scalable Workday-MuleSoft integrations across Salesforce, RevRec, Vertex, and banking platforms, driving API-led connectivity best practices and integration reliability

- Lead adoption of AI developer tools (Cursor, Copilot, CodeWhisperer) and automation platforms, embedding AI-assisted practices into the engineering workflow and prototyping agentic AI use cases for finance

- Design and operate cloud-native integration infrastructure on AWS and/or GCP, modernizing legacy patterns with event-driven, serverless, and microservices approaches aligned to cloud governance standards

- Mentor engineers through architecture and code reviews, foster a culture of continuous learning and experimentation, and collaborate cross-functionally to deliver end-to-end solutions at scale

- 10+ years of enterprise software engineering experience, including 5+ years working in Workday Financials / Accounting Center and integration-heavy environments

- Demonstrated technical leadership in architecture and solution design for large-scale enterprise systems

- Expert-level knowledge of Workday technical frameworks: Business Processes, Security, Accounting Center, Prism Analytics, Core Connectors, EIB, Studio, Workday Extend, Orchestrate, BIRT, and Document Transformation

- Hands-on mastery of the MuleSoft Anypoint Platform - Studio, ESB, API Management, CloudHub - and building scalable, secure API-led integrations

- Solid understanding of integration architecture: SOA, event-driven design, API design principles, REST/SOAP web services, and async messaging patterns

- Practical experience with AI developer productivity tools (Cursor, GitHub Copilot, CodeWhisperer) and enthusiasm for embedding AI into the engineering workflow

- Strong analytical and troubleshooting skills, including log analysis (Splunk or similar)

- Excellent written and verbal communication, with the ability to explain complex designs to both technical and business audiences

- Familiarity with CI/CD pipelines, Git, and DevOps practices in large-scale engineering environments

- Experience with Agentforce or LLM/agentic AI tooling in an enterprise context

- Knowledge of SOX compliance, enterprise security, and finance/ERP governance frameworks

- Experience with event-driven architectures using Kafka, Pub/Sub, SQS, or equivalent

This is a unique opportunity to make a meaningful, high-impact contribution at scale - directly influencing the architecture, delivery, and long-term evolution of enterprise finance systems that power Salesforce globally.

The typical base salary range for this position is $172,500 - $260,100 annually.