Responsibilities
Lead the architectural design and evolution of Aquas SaaS platform, with a focus on data modeling, storage, and system structure.
Define and document software architecture standards, guidelines, and best practices across teams.
Collaborate with backend, data, and product engineers to build robust, scalable, and extensible data-driven systems.
Design and optimize data schemas, storage strategies, and pipelines for high-volume, real-time, and analytical workloads.
Evaluate and integrate technologies that enhance system performance, scalability, and observability.
Provide technical leadership throughout the full product lifecycle from conceptual design to implementation and deployment.
Review and mentor engineering teams on architecture patterns, system design, and data management practices.
Conduct PoCs and technology evaluations to guide strategic architectural decisions.
Partner with cross-functional teams to align architecture with business needs and product goals.
Partner with cross-functional teams to align architecture with business needs and product goals.
8+ years of experience designing and building large-scale, distributed systems.
Proven experience defining and implementing complex data architectures including schema design, indexing, caching, and data governance.
Strong background in backend development (Go, Java, or similar) and data storage technologies (e.g., PostgreSQL, MongoDB, Elasticsearch, Kafka, or ClickHouse).
Deep understanding of microservices architectures, data pipelines, and modern SaaS system design.
Familiarity with containerized and cloud-native environments (Docker, Kubernetes, AWS/GCP/Azure).
Experience driving architectural alignment across multiple engineering teams.
Excellent communication, documentation, and leadership skills.
A hands-on, collaborative team player with a strategic mindset and proactive attitude.
Bachelors degree in Computer Science or equivalent experience (advanced degree or military tech unit background preferred).
