Azure Infrastructure & Data Engineer
Core
Design, build, and operate secure, scalable Azure infrastructure and modern data platforms to support application, data, and AI/ML workloads.
Role type
Senior Azure Infrastructure & Data Engineer
Builds
Azure landing zones, networking, identity, compute services, and end-to-end data pipelines (Fabric, Synapse, Data Factory, Data Lake, SQL, Cosmos DB)
Domain
Cloud Infrastructure (Azure) + Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Azure core infrastructure services, cloud networking and security, Infrastructure as Code (IaC), CAF/Well-Architected Framework, Azure data services (Fabric/Synapse/ADF/ADLS/SQL), SQL, batch and streaming pipeline development, modern analytics architectures (lakehouse/data mesh)
Preferred skills
AKS platform engineering, Azure Firewall/Application Gateway/Front Door, Azure Policy at scale, hybrid connectivity, Fabric end-to-end experience, Spark/PySpark, AI/ML workload integration, data governance tooling (Purview)
Technologies
Azure, Entra ID, Bicep, ARM, Terraform, Fabric, Synapse, Data Factory, Data Lake, SQL, Cosmos DB, AKS, Azure Monitor, Log Analytics, Purview, Spark, PySpark
Responsibilities
Design and operate Azure landing zones aligned to CAF and enterprise governance standards; Build and manage Azure networking (VNETs, peering, VPN/ExpressRoute, Private Endpoints, DNS); Implement and manage identity and access using Entra ID, RBAC, PIM, and Conditional Access; Own compute and platform services (VMs, VMSS, AKS, App Service environments); Implement infrastructure as code using Bicep, ARM, Terraform, or similar; Monitor and optimize availability, performance, and cost; Design and implement end‑to‑end data pipelines on Azure; Build and operate Azure data platforms; Ingest data from operational systems, SaaS platforms, and streaming sources; Develop data models optimized for analytics and downstream consumption; Ensure data quality, reliability, and performance at scale; Partner with analytics, BI, and AI teams to enable insights and advanced use cases; Optimize cost and performance across data workloads.
Seniority
Senior, hands-on IC