Data Engineering Manager

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $139,900–$274,800 / yr
Posted: 101 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k

This role $207k

$124k most similar roles pay here $291k

This role pays more than 65% of similar roles. Most pay $152,112–$222,000 — the shaded band above. At the midpoint, this role pays about $207k versus about $187k for comparable roles.

Based on 240 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 674 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 622 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Data Engineering Manager

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Microsoft’s Data Engineering Manager role within the Microsoft AI team seeks an experienced professional to lead the development of mission-critical data pipelines for Copilot systems. This position involves building scalable data infrastructure that ingests, processes, and publishes data streams, collaborating closely with platform, infrastructure, application engineers, and AI researchers to innovate next-generation data platforms. The ideal candidate will manage a small team of senior data engineers, ensuring engineering excellence through practices like PR reviews and code quality assessments. Required qualifications include a degree in Computer Science or related field plus years of experience in data science or software development, while preferred skills encompass expertise with Python, Java, Spark, SQL, Apache Hadoop, Kafka, NoSQL, and distributed systems at scale. This role demands proficiency in big data technologies and a commitment to continuous learning in AI and web development trends.

Skills

Python Java Spark SQL Apache_Hadoop Kafka NoSQL CI/CD Docker Kubernetes AWS Azure Google_Cloud_Platform Git Jenkins Terraform Prometheus Grafana PostgreSQL MSSQL Data_Governance Data_Security

What you'll do

Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases.
Manage a small team of senior data engineers responsible for engineering excellence.
Collaborate with platform, infrastructure, application engineers, and AI researchers to develop next-generation data platforms.
Ensure code quality, conduct PR reviews, and enhance engineering productivity for the data platform.
Oversee data governance, compliance, and security in data processing applications.

What we're looking for

Bachelor's degree in a relevant field and 6+ years of data engineering experience, or equivalent.
Proficient in building scalable data pipelines using Python, Java, Spark, SQL, and other big data processing tools.
Experience with Apache Hadoop ecosystem, Kafka, NoSQL databases, and distributed systems at scale.
Strong background in data governance, compliance, and security.
Ability to manage a small team of senior data engineers and ensure engineering excellence.

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