| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $139,900–$274,800 / yr
Posted: 88 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $207k

$101k most similar roles pay here $293k

This role pays more than 78% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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Microsoft’s Data Platform Engineering team is seeking a seasoned Member of Technical Staff - Data Engineering Manager to join their mission-critical data pipeline initiative for Microsoft Copilot. This role involves building scalable data pipelines that ingest, process, and publish data from personal AI systems, requiring expertise in big data processing technologies and templating skills. The ideal candidate will collaborate with platform, infrastructure, application engineers, and AI researchers to develop next-generation data platforms while managing a small team of senior data engineers, ensuring engineering excellence through practices like PR reviews and code quality assessments. Preferred qualifications include extensive experience with Python, Java, Spark, SQL, Apache Hadoop ecosystem, Kafka, NoSQL databases, and public cloud infrastructure such as Azure or AWS, along with a strong background in data governance, compliance, security, and distributed systems at scale.

Skills

Python Java Spark SQL Kafka Azure AWS GCP Apache Hadoop NoSQL CI/CD

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 and operational 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 within the data platform team.
Design solutions using big data processing technologies like Apache Hadoop ecosystem, Kafka, NoSQL, and cloud services.

What we're looking for

Bachelor's degree in a relevant field and 6+ years of data engineering experience, or equivalent.
Proficient in building data processing applications using Python, Java, Spark, SQL.
Experience working with Apache Hadoop ecosystem, Kafka, NoSQL databases.
Strong background in data governance, compliance, and security.
Expertise in building scalable services on public cloud platforms like Azure, AWS, GCP.
Track record of managing a small team of senior data engineers.

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