As Enterprise/Solution Architect for FP&A, you’ll own the architectural vision and hands-on execution for the 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 the 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 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.)
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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