About Empyrean’s FP&A Platform

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.


Role Overview

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 peer 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.


Time Allocation

  • 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.

Required Qualifications

Experience

  • 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

Technical Expertise

  • 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

AI & Agentic Readiness

  • Active user of AI development tools (Cursor, Copilot, Claude Code) — not aspirational, current

  • 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.)

Architectural Mindset

  • 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

We’re NOT Looking For

  • 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


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