Enterprise/Solution Architect

We’re building the next generation of financial planning & analysis software for banks and credit unions — integrated Profitability, Budgeting & Planning, and CECL solutions that give finance and treasury teams a single, reliable platform for performance management and regulatory compliance. Our Cork engineering team of 45+ engineers owns the FP&A product suite end-to-end, and we’re transforming how these products are built: modern cloud-native architecture, AI-first development, and agentic capabilities that fundamentally change how financial analysts work.

As Enterprise/Solution Architect for FP&A, you’ll own the architectural vision and hands-on execution for Empyrean’s financial planning & analysis product suite. This is not an ivory tower role — you’ll set architectural direction AND prove it out in code. You’ll work across Planning, Profitability, and CECL products, designing the systems that scale from community banks to tier‑1 institutions while driving the modernization of our stack toward cloud-native, AI-first patterns.

You’ll pair with our existing Enterprise Architect in Cork, report to the Director of Engineering (FP&A), and collaborate closely with Platform Engineering, Data Platform, and product leadership. Your architectural decisions will directly shape how 45+ engineers build, and how hundreds of financial institutions run their businesses.

This role is Cork-based (Ireland required) and requires three days a week in the office.

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• 50%+ Hands‑On Architecture & Code — Writing production code, building proof‑of‑concepts, reviewing PRs, validating architectural decisions through implementation. You prove your designs work by building them.
  
• 25% Architectural Direction & Standards — Defining domain architecture, API contracts, service boundaries, data flow patterns, and integration points across the FP&A suite. Ensuring consistency and interoperability with the broader Empyrean platform.
  
• 15% Technical Leadership & Collaboration — Partnering with the existing EA, Platform Engineering, Data Platform, and product teams. Mentoring senior engineers on architectural thinking.
  
• 10% Innovation & Agentic Enablement — Identifying where AI and agentic capabilities can transform FP&A workflows — not chatbot hello worlds, but intelligent automation that changes how financial analysts interact with planning, profitability, and credit loss data.
  

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• 10+ years in software engineering with 5+ years in architecture roles (enterprise, solution, or principal‑level)
  
• Critical: Personally designed AND built distributed systems at scale — not just drew the diagrams
  
• Proven experience modernizing legacy systems incrementally while maintaining production stability
  
• Track record of setting architectural standards adopted by teams of 20+ engineers
  
• Experience with financial services, banking, or regulated industries strongly preferred
  

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• Deep .NET/C# expertise with modern patterns (clean architecture, domain‑driven design, CQRS/event sourcing where appropriate)
  
• TypeScript/Angular experience (full‑stack credibility matters)
  
• Cloud‑native architecture on Azure (AWS/GCP transferable)
  
• API design: versioned contracts, backward compatibility, consumer‑driven testing
  
• Event‑driven and messaging patterns (Azure Service Bus, pub‑sub architectures)
  
• Microservices and service decomposition — knowing when to split AND when to keep things together
  
• Database architecture: relational and analytical workloads, performance optimization at scale
  
• Infrastructure‑as‑code (Terraform) and CI/CD pipeline design
  
• Containerization and orchestration patterns
  

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• Active user of AI development tools (Cursor, Copilot, Claude Code) — not aspirational, current xcfaprz
  
• Understanding of agentic architecture patterns: tool use, orchestration, multi‑agent systems
  
• Vision for how AI transforms domain‑specific workflows beyond generic chatbot interfaces
  
• Familiarity with LLM integration patterns, RAG architectures, or AI platform services (Azure AI Foundry, LangChain/LangGraph, etc.)
  

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• Balances pragmatism with vision — ships today’s solution while designing tomorrow’s architecture
  
• Thinks in domain boundaries, data ownership, and API contracts
  
• Designs for team autonomy: your architecture enables engineers to move fast independently
  
• Understands platform economics: build vs. buy, shared services vs. team‑owned, cost at scale
  
• Incremental delivery over big‑bang rewrites
  

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• Architects who haven’t written production code in 2+ years
  
• PowerPoint architects who define systems they’ve never built
  
• Governance‑heavy, RACI‑first thinkers who slow teams down
  
• Anyone who can’t articulate specific examples of systems they personally architected AND scaled
  
• Enterprise architecture tourists without depth in at least one modern stack
  
• “AI is interesting” without demonstrated hands‑on experience