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Principal Enterprise Architect
WillHireEnterprise Architect at Workday shaping the future of work using AI technology and innovative solutions. Leading presales discussions and crafting presentations to showcase Workday's distinct technological advantages.
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates advanced expertise in Workday Core Architecture, AI Vision and Strategy, and Low Code Application Development, with a strong ability to communicate complex technical concepts to diverse audiences. Proficient in crafting technical presentations and collaborating on architecture designs while possessing deep knowledge of cloud environments and integration standards.
ATS Keywords
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Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Articulates and differentiates the Workday Core Architecture to both technical and business buyer personas
- Strategically lead high-level discussions on Workday's AI Vision and Strategy, Low Code Application Development, Machine Learning (ML), and Agent-based architectures
- Craft compelling presentations that showcase why Workday’s technology is fundamentally different
- Dive deep into technical topics such as data security, reporting & analytics, integrations, and Workday Extend
- Collaborate with stakeholders to create technical as-is and to-be architecture designs
- Conducts discoveries, deep dives, and scripted demonstrations independently
- Attain advanced domain knowledge and industry knowledge, articulating customer use cases to prospects
- Communicate complex technical concepts effectively to functional and technical audiences
Requirements
What you’ll need- 12+ years experience in enterprise software technical solution consulting
- Strong experience delivering compelling technical presentations and demonstrations
- Deep expertise working with common cloud architectures, security, reporting, and/or integration standards
- Relevant experience or certifications in solution architecture on hyperscaler environments such as AWS or GCP
- Exposure to AI agents and experience in agent development tools such as LangGraph, Flowise, Dify, AutoGPT, Vertex AI
- Familiarity with low-code platforms and tools
- Understanding of IT landscapes and ability to solution evolutions from current to future state architectures
- Experience developing or supporting Financial or HCM applications, customisations, reports, workflow, BI, integration, analytics or being involved in implementations, upgrades or re-implementations
Benefits
Comp & perks- Flexible Work arrangements