Junior Architect

We're seeking a Software Architect for Data & Platform who will define and drive the technical vision for our real-time streaming infrastructure and trading platform ecosystem. You'll architect mission-critical systems that process billions of financial events daily, designing the foundational infrastructure that powers PAMM, MAMM, Copy Trading, and Introducing Broker systems. This is a hands-on architecture role where you'll shape the future of financial data processing at scale. You'll work at the intersection of cutting-edge streaming technologies and complex financial domain requirements, creating architectural blueprints that ensure our platform can handle exponential growth while maintaining sub-millisecond performance. Define and evolve the architectural vision for our real-time streaming data platform • Design scalable, fault-tolerant systems for high-volume financial data ingestion and processing • Drive technology selection and evaluation for next-generation data infrastructure • Collaborate closely with engineering teams to translate architectural vision into implementation • Design data models, APIs, and integration patterns for multi-asset trading platforms • Establish performance benchmarks, scalability targets, and reliability standards • Experience That Matters: • Architectural Leadership: 12+ years of progressive software engineering experience with deep focus on system architecture, distributed systems design, and large-scale platform development • SaaS Data Product Mastery: 5+ years specifically architecting SaaS data products at scale, with proven experience designing multi-tenant data platforms, real-time analytics systems, and customer-facing data APIs that serve thousands of concurrent users • Financial Systems Experience: Significant experience architecting trading platforms, market data systems, risk management infrastructure, or other mission-critical financial applications where accuracy, latency, and regulatory compliance are paramount • Streaming Architecture Expertise: Deep hands-on experience designing and implementing large-scale streaming architectures that handle high-volume, low-latency data processing with complex event correlation and state management • Cloud-Scale Impact: Proven track record of architecting systems that scale from thousands to millions of transactions, with experience in capacity planning, performance optimization, and cost-effective cloud resource utilization Data Architecture Mastery: Advanced expertise in designing data lakes, data meshes, real-time OLAP systems, time-series data models, and hybrid transactional/analytical processing (HTAP) architectures optimized for financial workloads • Java & High-Performance Computing: Deep proficiency in modern Java, JVM performance tuning, garbage collection optimization, and building ultra-low-latency applications that consistently achieve sub-millisecond response times • Cloud-Native Data Platforms: Extensive experience architecting on major cloud platforms (AWS/Azure/GCP) with deep knowledge of managed streaming services, serverless data processing, containerized stateful services, and cloud-native storage solutions • Distributed Systems Design: Expert understanding of distributed systems principles, including consensus algorithms, event sourcing, CQRS patterns, distributed caching strategies, and designing for eventual consistency in financial contexts • Database Architecture: Advanced knowledge of polyglot persistence patterns, database sharding strategies, time-series database optimization, and designing for both ACID compliance and high-throughput requirements • Event Sourcing at Scale: Deep expertise in implementing event sourcing patterns for financial systems, including snapshot strategies, event replay mechanisms, and handling billion-event streams • Strong understanding of zero-trust security models, data encryption at rest and in transit, audit logging frameworks, and designing systems that meet financial services regulatory requirements • AI-Assisted Development: Advanced experience leveraging modern AI architectural tools (GitHub Copilot, Cursor, ChatGPT, Claude, Tabnine) to accelerate design documentation, code generation, and architectural decision-making while maintaining security and compliance standards Proven expertise in architectural frameworks (TOGAF, C4 Model, Event Storming), with experience leading architecture review boards, conducting technology assessments, and creating comprehensive architectural documentation • Strong experience working with product managers, business stakeholders, compliance teams, and executive leadership to align architectural decisions with business objectives and regulatory requirements • Natural ability to influence and guide engineering teams through technical leadership, architecture evangelism, proof-of-concept development, and hands-on problem-solving during complex implementation challenges • Strong background in coaching senior engineers on architectural thinking, conducting design reviews, facilitating architectural decision records (ADRs), and creating learning paths for complex distributed systems concepts Deep understanding of how architectural decisions directly impact end-user experience, with experience designing systems that serve traders, analysts, and financial professionals with millisecond-level performance expectations • Demonstrated history of taking architectural ownership for mission-critical platforms, including on-call responsibilities, post-incident reviews, and long-term technical debt management in high-stakes environments • Innovation with Risk Management: Expertise in balancing architectural innovation with the stability and compliance requirements of financial systems, making informed decisions about technology adoption while managing operational risk • Passion for staying current with evolving data architecture patterns, financial technology innovations, and regulatory changes, while continuously refining architectural approaches based on operational learnings • Precision-Driven Decision Making: Comfortable making complex architectural decisions under uncertainty while maintaining the precision and accuracy required for financial data processing, with strong analytical and systems thinking capabilities Direct experience architecting Percentage Allocation Management Modules, Multi-