✦ Luna Orbit — Cloud & Infrastructure

Senior Principal Cloud Data Engineer

at M&T Bank

📍 Buffalo, NY Hybrid 💰 $139K – $232K USD / year Posted March 13, 2026
Salary $139K – $232K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Cloud & Infrastructure

This role involves leading the development of enterprise cloud data platforms in Azure, focusing on scalable, secure, and automated data solutions.

  • Define cloud data standards
  • Build and evolve Azure data platforms
  • Ensure data security and automation
  • Collaborate with architecture teams
  • Implement monitoring and resilience strategies

The position requires expertise in Azure cloud architecture, data ingestion, storage, lakehouse architectures, and data security, with a focus on automation and resilience.

The ideal candidate is a senior cloud data engineer with extensive experience in Microsoft Azure, data architecture, and platform engineering. They should possess strong leadership skills and a deep understanding of data security, automation, and scalable data solutions.

AzureCloud Data ArchitectureData Platform EngineeringData SecurityAutomation
Data LakehouseData PipelinesReference ArchitecturesData Governance
Microsoft AzureAzure Data PlatformData LakeData Pipelines
Microsoft AzureAzure Data PlatformData IngestionData StorageLakehouse ArchitecturesData ProcessingData TransformationAnalyticsData SecurityAutomationResilienceMonitoringObservability
Microsoft AzureAzureCloud Data ArchitectureData Platform EngineeringData IngestionData StorageLakehouse ArchitecturesData ProcessingData TransformationAnalyticsData SecurityAutomationResilienceMonitoringObservability
LeadershipStrategic ThinkingCollaborationProblem-solvingCommunication

Preferred

Microsoft Certified: Azure Solutions Architect ExpertAzure Data Engineer Associate
Industry Banking
Job Function Lead the design and implementation of enterprise cloud data solutions in Azure
AzureMicrosoft AzureCloud Data ArchitectureData Platform EngineeringData IngestionData StorageLakehouse ArchitecturesData ProcessingData TransformationAnalyticsData SecurityAutomationResilienceMonitoringObservabilityData PipelinesData Governance

Lack of experience with Azure or cloud data platforms, No senior-level cloud engineering background, Inability to work in a hybrid environment

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