S&P Global
AzureInfrastructure&DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Azure Infrastructure & Data Engineer at S&P Global. Skills: Azure infrastructure, Data platforms, Data pipelines, Infrastructure as code. Design and operate Azure landing zones. Build and manage Azure networking”
What You'll Achieve.
Enable analytics, reporting, and AI/ML workloads; Enable insights and advanced use cases
What They're Looking For.
Must Have
3+ years hands‑on experience with Azure core infrastructure services, Deep understanding of networking and security concepts in cloud environments, Experience building and operating IaC‑driven platforms, Familiarity with CAF, Well‑Architected Framework, and Zero Trust principles, Experience supporting mission‑critical production systems, experience with Azure data services (Fabric or Synapse, ADF, ADLS, SQL), Solid SQL skills and experience with data transformation patterns, Experience building batch and/or streaming pipelines, Understanding of modern analytics architectures (lakehouse, data mesh concepts), Ability to support production data platforms
Nice to Have
AKS platform engineering experience, Azure Firewall, Application Gateway, or Front Door, Azure Policy at scale, Hybrid connectivity (on‑prem to Azure), Fabric end‑to‑end experience (OneLake, Lakehouse, Warehouse), Spark / PySpark experience, Integration with AI/ML workloads, Data governance tooling (Purview)
What You'll Do.
Design and operate Azure landing zones
Build and manage Azure networking
Implement and manage identity and access
Own compute and platform services
Implement infrastructure as code
Monitor and optimize availability
Partner with security teams
Support production workloads
Design and implement end‑to‑end data pipelines
Build and operate Azure data platforms
Ingest data from sources
Implement security and governance
Partner with analytics
Optimize cost and performance
How You'll Work.
Team & Collaboration
Partner with security teams; Partner with analytics, BI, and AI teams
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 09 **The Role:** Design, build, and operate secure, scalable Azure infrastructure that underpins application, data, and AI workloads alongside Design, build, and operate modern data platforms on Azure that enable analytics, reporting, and AI/ML workloads. This role is typically accountable for the Azure landing zone, networking, identity, security baseline, and reliability and will focus on data ingestion, transformation, modelling, and performance. **Responsibilities include:** * 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** (Azure Monitor, Log Analytics, Cost Management) * Partner with security teams on **policy, compliance, and threat protection** * Support production workloads with clear **SRE/operations discipline** (patching, backup, DR) * Design and implement **end‑to‑end data pipelines** on Azure * Build and operate **Azure data platforms** (Fabric, Synapse, Data Factory, Data Lake, SQL, Cosmos DB) * 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 * Implement security and governance (Purview, RBAC, data access controls) * Partner with analytics, BI, and AI teams to enable **insights and advanced use cases** * Optimize **cost and performance** across data workloads. **Requirements:** * 3+years hands‑on experience with **Azure core infrastructure services** * Deep understandin
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