Data analytics and security operations platform on Azure cloud infrastructure
Atreides builds data analytics and security detection systems on Azure, with a stack spanning infrastructure-as-code (Terraform, Bicep, Pulumi), container orchestration (Kubernetes), query engines (Spark SQL, DuckDB, StarRocks), and visualization (D3.js, deck.gl, Mapbox GL JS). The hiring mix—heavily weighted toward senior and mid-level engineers plus dedicated security roles—reflects active work on Azure landing zones, identity controls, and Sentinel-based security detections, signaling a security-ops-forward organization managing both cloud infrastructure hardening and threat detection at scale.
Atreides operates as a data and security analytics firm serving organizations that need to extract actionable insights from massive datasets while maintaining strict security posture. Based in Victoria, British Columbia, the company specializes in multi-sourced data integration and filtering to surface the high-signal fraction relevant to each client. Core operational areas include designing secure Azure cloud environments (landing zones, IAM controls, infrastructure-as-code), building security detection pipelines (Sentinel, KQL, YARA rules), and developing spatial data infrastructure (tile generation, indexing, partitioning). The organization handles both greenfield cloud deployments and integration of new technologies into established legacy systems.
Atreides uses Terraform, Bicep, and Pulumi for infrastructure-as-code; Kubernetes for orchestration; Spark SQL, DuckDB, and StarRocks for data querying; and D3.js, deck.gl, and Mapbox GL JS for visualization. Security tooling includes Sentinel, KQL, and YARA.
Core projects include designing Azure landing zone solutions, building identity and access management controls, deploying infrastructure-as-code for secure cloud configuration, and developing security detections using Sentinel and KQL. The company is also building tile generation and spatial indexing infrastructure.
Atreides's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.