| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $209k
$101k most similar roles pay here $293k

This role pays more than 95% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $209k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Data Infrastructure Manager at Microsoft, you will lead a team of engineers building large-scale data and ML pipelines for consumer AI applications. This role combines technical leadership with people management, requiring deep expertise in big data and distributed systems, as well as experience leading engineering talent. Your day-to-day involves setting the technical vision for scalable infrastructure, conducting design reviews, and fostering an inclusive culture. You will also champion DevOps practices, build robust CI/CD pipelines using tools like Bicep and Terraform, and collaborate with security teams to ensure strong infrastructure security. Ideal candidates have extensive experience in big data platforms, containerized application deployments, and modern data technologies such as Databricks and cloud-native environments across Azure, AWS, or GCP.

What you'll do

  • Lead the hiring, mentoring, and development of a team of Data Infrastructure Engineers to foster technical excellence and career growth.
  • Define and drive the technical vision for scalable, reliable big data infrastructure supporting mission-critical AI applications.
  • Partner with engineers to architect data solutions across storage, compute, and analytics layers, ensuring long-term scalability.
  • Champion DevOps practices, including automated deployments, service monitoring, and incident response, to ensure operational excellence.
  • Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM.

What we're looking for

  • Deep technical expertise in big data and distributed systems.
  • Proven experience leading and developing engineering talent.
  • Hands-on experience with cloud-native infrastructure across Azure, AWS, or GCP.
  • Solid scripting and automation skills in Python, Bash, or PowerShell.
  • Experience managing CI/CD pipelines and production incident response.
  • Familiarity with modern big data platforms like Databricks and Kubernetes.
  • Strong collaboration history with Data Engineers, Scientists, ML Engineers.

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