Senior Workday Integrations Architect

Machine Intelligence Technologies, LLC; Austin, Northern (TX, KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Machine Intelligence Technologies LLC in Austin, TX seeks a Senior Enterprise Architect to lead the architecture, design, and delivery of scalable Workday Financials solutions and integrations across enterprise platforms. You will translate business needs into robust technical designs and guide cross-functional teams.

You will champion security, performance, and best practices, mentor engineers, and drive adoption of AI/ML and integration tools to scale the platform.

Qualifications

• 10+ years of enterprise software engineering experience, with 7+ years in Workday Financials/Accounting Center and integration-heavy environments.
• Proven track record of technical leadership in architecture and solution design for large-scale enterprise systems.
• Deep expertise in Workday technical frameworks: Business Processes, Security, Accounting Center, Prism Analytics, Core Connectors, EIB, Studio, Workday Extend, Orchestrate, BIRT, and Document Transformation.
• Strong experience with MuleSoft Anypoint Platform (Studio, ESB, API Management, CloudHub) and designing scalable, secure integrations.
• Hands-on experience in Workday integrations with external platforms (Salesforce, RevPro, Vertex, banking systems) using APIs, Connectors, and automation frameworks.
• Strong understanding of integration frameworks, API design, SOA patterns, and web services (REST, SOAP).
• Strong analytical and problem-solving skills, including log analysis and troubleshooting (Splunk or similar).
• Ability to influence and guide senior stakeholders through architecture discussions and technical strategy.
• Excellent written and verbal communication, with the ability to articulate complex designs to both technical and business audiences.
• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.

Responsibilities

• Lead the architecture, design, and delivery of scalable, high-performing solutions across Workday Financials, Accounting Center, and related enterprise platforms.
• Design, develop, and govern Workday Financial solution including integrations with external systems (Salesforce, RevRec, Vertex, MuleSoft, banking platforms, etc.).
• Translate complex business and finance requirements into robust technical designs, ensuring alignment with enterprise architecture principles and industry best practices.
• Ensure adherence to coding standards, security best practices, and performance optimization techniques to enhance engineering quality.
• Mentor and guide engineers through architecture reviews, technical decision-making, and code reviews, fostering strong technical craftsmanship.
• Collaborate with cross-functional teams (product managers, business systems analysts, and 3rd-party integrators) to deliver end-to-end solutions.
• Drive innovation and adoption of emerging technologies, including AI/ML, automation, and integration tools.
• Champion a culture of continuous learning, experimentation, and engineering excellence across the Workday and integration teams.
• Anticipate future technical needs and evolve frameworks, tools, and practices to scale for growth.

Skills

Workday Financials

Integration design

Architecture leadership

MuleSoft

API design

Security best practices

Code reviews

Mentorship

Cross-functional collaboration

AI/ML awareness

Education

Bachelor's or Master's in CS/Engineering

Tools

Workday Studio

Prism Analytics

EIB

Orchestrate

BIRT

Salesforce

Vertex

Splunk

REST/SOAP

Job description

Machine Intelligence Technologies LLC in Austin, TX seeks a Senior Enterprise Architect to lead the architecture, design, and delivery of scalable Workday Financials solutions and integrations across enterprise platforms. You will translate business needs into robust technical designs and guide cross-functional teams.

You will champion security, performance, and best practices, mentor engineers, and drive adoption of AI/ML and integration tools to scale the platform.