Software Architect - Data & Platform

Role & responsibilities

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

Preferred candidate profile:

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