Architect, ADC/Quant

Overview

As an expert Architect, you will define the end-to-end target architecture for a large, diverse engineering program, guiding data ecosystems, AI integration, and secure multi-cloud deployments. You will partner with senior stakeholders to translate strategy into scalable, resilient systems and establish architectural governance. This role blends hands-on prototyping with strategic oversight to maintain coherence across a heterogeneous tech stack. You’ll shape the AI roadmap and ensure designs meet regulatory and performance standards, delivering measurable impact at scale.

Pay / Benefits

• healthcare
• retirement planning
• paid volunteering days
• wellbeing initiatives

Responsibilities

• Define and own the target state architecture across diverse systems, data platforms, and cloud integrations
• Publish and maintain architectural blueprints, design patterns, and engineering standards
• Lead the Architecture Review Board (ARB) to ensure designs meet non-functional requirements (NFRs) like scalability, security, and performance
• Lead the AI architecture roadmap and governance for AI/ML integration into products
• Foster AI-driven developer productivity and scalable data pipelines (MLOps/LLMOps) for model training and inference
• Provide technical leadership and mentorship to Principal Engineers and Tech Leads across domains
• Ensure architectural coherence across a diverse stack while balancing standardization with agile delivery
• Own technical debt strategies and long-term platform health
• Lead investigations into performance issues and incidents; prototype PoCs for new AI tools or cloud services
• Collaborate with business leadership to translate commercial objectives into technical roadmaps
• Architect solutions in a broadly evolving, heterogeneous technology landscape

Key requirements

• 8+ years in software engineering with 3+ years as Principal or Senior Architect for large-scale distributed systems
• Advanced data architecture with Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse)
• Strong data integration and relational platforms experience
• Proven ability to design highly available Hybrid/Multi-Cloud architectures (Azure & AWS)
• Experience designing architectures that support AI/ML workloads, including LLMs, predictive analytics, and vector search
• Deep governance and security understanding for regulated financial services environments
• Strong SRE mindset with observability and cloud-native resilience patterns
• Exceptional stakeholder and cross-functional leadership capable of engaging executives
• Hands-on R&D involvement: PoCs and prototype coding to validate architectural assumptions
• Willingness to work in a highly regulated, high-expectation environment

• strong stakeholder communication
• cross-functional collaboration
• ability to influence without direct reporting lines
• Databricks
• Microsoft Fabric
• AWS Glue

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