Quick overview
SeniorityMid Senior
Work modeHybrid
LocationNew York, NY, United States
PythonSQLSQL ServerAWSAzureETLData PipelineLLM
Job description
Senior Financial Systems Architect
NY-New York- Hybrid
Holders
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.
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