Sr. Data Architect, Large Scale Distributed Systems
Core
Design and evolve enterprise-scale distributed systems supporting 50M+ connected sensors and high-volume event processing pipelines.
Role type
Senior IC distributed systems architect
Builds
Mission-critical backend platforms for cybersecurity, processing millions of events per second
Domain
Cybersecurity / Distributed Systems / Data Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems architecture, High-throughput event-driven design, Scalable NoSQL and analytical data stores, Streaming and messaging systems, System design for low-latency APIs, Programming in Go/Java/Scala/Rust, Multi-region resilience design, Observability frameworks
Preferred skills
Large-scale IoT or telemetry platforms, Edge-to-cloud architectures, Multi-cloud or hybrid environments, Enterprise security frameworks and data governance, AI/ML data pipelines
Technologies
Kafka, Pulsar, Cassandra, DynamoDB, Bigtable, ClickHouse, Elasticsearch, Flink, Spark, Beam
Responsibilities
Define architecture for large-scale distributed systems ingesting data from 50M+ sensors, Architect real-time and batch data pipelines for high-throughput ingestion, Establish and operationalize SLAs, SLOs, and error budgets, Partner with engineering and data teams to align architecture with objectives, Provide technical leadership and mentorship across multiple teams, Lead design reviews to ensure adherence to architectural standards
Seniority
Senior, hands-on IC with strategy & mentorship
