Enterprise Architect

Role Overview

• Articulates and differentiates the Workday Core Architecture (intelligent data core) to both technical and business buyer personas, showcasing Workday's foundational technology.
• Strategically lead high-level discussions on Workday's AI, Machine Learning (ML), and Agent-based architectures, positioning our solution as the future-ready, intelligent cloud platform.
• Craft compelling presentations that showcase why Workday’s technology is fundamentally different and deliver impactful demonstrations that bridge complex technology with clear business outcomes.
• Dive deep into technical topics such as data security, reporting & analytics, integrations, and Workday Extend, illustrating how these components support intelligent automation and extensibility.
• Collaborate with stakeholders to create technical as-is and to-be architecture designs using graphical discovery tools, specifically highlighting how the Workday platform simplifies the IT landscape and drives value.
• Conducts discoveries, deep dives, and scripted demonstrations with little support, and conducts discoveries and answers RFP questions independently.
• Attain advanced domain knowledge and industry knowledge. Differentiates Workday product features and understands the competitive landscape, articulating customer use cases and value realizations to prospects.
• Communicate complex technical concepts effectively to functional and technical audiences, while engaging confidently with C-level executives.
• Proactively cultivates relationships with sales teams and the broader Presales organization.
• Demonstrates strong business operator skills (e.g., documentation, notes, knowledge sharing, salesforce hygiene, event manager updates, etc.).

Requirements

• 3+ years experience in enterprise software technical solution consulting ("Presales")
• 3+ years experience delivering compelling technical presentations and demonstrations
• 3+ years experience leading discovery conversations and confidence in delivering impactful demonstrations to C-Suite executives, business leaders and technical evaluators.
• 3+ years experience working with common cloud architectures, security, reporting, and/or integration standards.
• Experience or certifications in solution architecture on hyperscaler environments such as AWS or GCP, is a preferred qualification
• Exposure to AI agents and experience in agent development tools such as LangGraph, Flowise, Dify, AutoGPT, Vertex AI
• Possessing familiarity with low-code platforms and tools, along with hands-on experience designing and deploying applications or workflows to drive business efficiency is a preferred qualification
• 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 is an added advantage.

Tech Stack

• AWS
• Cloud
• Google Cloud Platform

Benefits

• Flexible work arrangements
• Professional development opportunities