Senior Principal Cloud Data Engineer

M&T Bank

Buffalo, New York, United States of America
$139,700.00 - $232,900.00 annual (usd) py
Hybrid
Microsoft azure cloud data platform
Enterprise cloud data platform capabilities
Data ingestion and integration patterns
This role is responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure, providing deep technical leadership across cloud data architecture, platform engineering, and enablement

Job Summary

  • This role is responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure, providing deep technical leadership across cloud data architecture, platform engineering, and enablement.
  • The position operates primarily upstream of data solution delivery, focusing on platform standards, reusable capabilities, and architectural alignment while remaining grounded in hands-on engineering and real-world implementation.
  • Success will be measured by the adoption of enterprise data platform capabilities, reduction in bespoke or inconsistent data solutions, improved scalability and reliability of data workloads, and alignment between data strategy and platform execution.

Matching Summary

This role is responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure, providing deep technical leadership across cloud data architecture, platform engineering, and enablement.

Salary

$139,700.00 - $232,900.00 Annual (USD)

Skills & Requirements

Must-have

  • Microsoft Azure cloud data platform
  • enterprise cloud data platform capabilities
  • data ingestion and integration patterns
  • enterprise data storage and lakehouse architectures
  • data processing and transformation platforms
  • analytics and consumption enablement patterns
  • automation, resilience, and security by design
  • reference architectures and technical patterns
  • data pipelines and integration approaches
  • storage, partitioning, and lifecycle management
  • access control, encryption, and data protection
  • monitoring, observability, and operational support
  • reusable templates and frameworks
  • platform-embedded controls and defaults
  • architecture and design reviews
  • proofs of concept and technical validations
  • platform pilots and early-stage data initiatives
  • technical mentorship to senior engineers

Nice-to-have

  • large-scale or regulated enterprise environments
  • enterprise data platforms
  • analytics enablement
  • data modernization
  • data governance
  • data quality
  • operational data management practices

Key Requirements

  • Minimum 10 years higher education and/or experience
  • Thorough understanding of system development and infrastructure lifecycle
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Significant experience in cloud data engineering or platform engineering
  • Demonstrated expertise in Azure data services and architectures
  • Cloud-based data integration and processing
  • Platform-engineering approaches for data solutions
  • Infrastructure as Code and automation

Work Rights

Not specified

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