Software Architect - Data & Platform

• 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
• Architect sophisticated trading modules (PAMM, MAMM, Copy Trading, Introducing Broker systems)
• Lead technical design reviews and establish architectural standards across the platform
• 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
• Mentor senior engineers on architectural principles and design patterns

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

Technical Excellence:

• Streaming & Event Architecture: Expert-level expertise in designing event-driven architectures using Apache Kafka, Apache Flink, Apache Pulsar, and modern stream processing frameworks, with deep understanding of exactly-once semantics, complex event processing, and distributed state management
• 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
• API & Integration Design: Deep expertise in designing robust API gateways, implementing complex webhook systems, managing service mesh architectures, and creating integration patterns that support thousands of concurrent connections
• 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
• Security & Compliance Architecture: 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

Architectural Leadership:

• Design Methodology: Proven expertise in architectural frameworks (TOGAF, C4 Model, Event Storming), with experience leading architecture review boards, conducting technology assessments, and creating comprehensive architectural documentation
• Technical Strategy: Demonstrated ability to translate business requirements into technical strategy, create technology roadmaps, evaluate build-vs-buy decisions, and balance technical debt management with feature velocity
• Cross-Functional Collaboration: Strong experience working with product managers, business stakeholders, compliance teams, and executive leadership to align architectural decisions with business objectives and regulatory requirements
• Engineering Influence: 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
• Innovation & Pragmatism: Track record of introducing cutting-edge technologies while maintaining system stability, making principled architectural trade-offs, and ensuring solutions are maintainable by diverse engineering teams
• Mentorship-Driven Architecture: 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

Cultural Fit:

• Customer-Impact Architecture: 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
• Platform Ownership Mindset: 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
• Cross-Domain Technical Leadership: Proven ability to work effectively across engineering, infrastructure, security, compliance, and business teams while maintaining technical standards and architectural integrity
• Continuous Architecture Evolution: 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

Domain & Industry Expertise:

• PAMM/MAMM Architecture: Direct experience architecting Percentage Allocation Management Modules, Multi-Account Manager systems, sophisticated Copy Trading platforms with complex profit/loss attribution, or Introducing Broker commission systems
• Ultra-Low-Latency Architecture: Experience designing systems that operate in microsecond timeframes, including FPGA programming, kernel bypass networking, custom serialization protocols, and co-location infrastructure optimization
• Financial Regulatory Architecture: Deep understanding of regulatory compliance architecture including MiFID II transaction reporting, EMIR trade reporting, Best Execution analysis, and systematic internalization requirements
• Global Multi-Asset Platforms: Experience architecting systems that handle equities, FX, commodities, derivatives, and cryptocurrencies across multiple jurisdictions with complex regulatory and operational requirements
• Real-Time Risk Management: Architecture experience with position management systems, real-time P&L calculation, margin calculation engines, and automated risk controls that operate at trading speed

Advanced Technical Specializations:

• Time-Series Analytics Architecture: Advanced knowledge of designing real-time analytics platforms for financial time-series data, including complex aggregations, pattern detection, and predictive analytics at scale
• Blockchain & DeFi Integration: Experience architecting traditional finance systems with blockchain integration, including DeFi protocol interactions, cryptocurrency processing, and hybrid TradFi-DeFi platforms