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Job Description Job Description Senior Financial Systems Architect Hybrid in NYC preferably- or other office locations hybrid: Chicago, Dallas, Washington DC Responsibilities: Define, document, and evolve the technical architecture for the firm's financial systems-covering application, data, and infrastructure layers-to ensure performance, scalability, and maintainability. Oversee and support backend operations for Elite 3E and financial applications including configuration, database management, and system monitoring. Collaborate with IT teams to maintain the servers, databases, and middleware that host financial applications; ensure availability, redundancy, and recovery plans are in place. Serve as escalation point for complex technical issues within financial systems, identifying root causes and implementing long-term performance improvements. Design and manage APIs, ETL pipelines, and middleware integrations connecting financial systems with other enterprise platforms, including data warehouses and reporting tools. Partner with AI and AppDev teams to design and implement AI-driven workflows, predictive analytics, and LLM-based automation within financial systems such as Elite 3E and future matter intake tools. Establish and enforce standards for access control, data security, change management, and compliance. Provide architectural guidance to engineers and analysts, ensuring alignment with best practices and long-term platform strategy. Act as the firm's subject matter expert for financial system architecture. Qualifications: 10+ years in enterprise application architecture, systems engineering, or financial systems support, ideally in a law firm or professional services environment. Deep technical knowledge of Elite 3E, including schema, configurations, extensions, and integrations. Proven experience architecting or supporting Rocket Proforma, e-Billing Hub, and Transform. Strong background in system integration, API development, and data pipeline design. Exposure to AI/LLM frameworks and experience integrating intelligent automation into enterprise systems preferred. Advanced SQL, Python, and scripting for system automation and diagnostics. Experience with Microsoft SQL Server, IIS, Windows Server, and Azure or AWS environments. Understanding of network connectivity, middleware, and security architecture for enterprise applications. Familiarity with ETL/ELT frameworks, API orchestration, and application performance monitoring tools. Strong troubleshooting and debugging skills across application, data, and infrastructure layers. Strategic thinker with hands-on technical delivery skills. Excellent communication across technical and business teams. Proven ability to lead technical design reviews and coordinate multi-system initiatives.