Senior Data Engineer

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Apr 1, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 62% of similar roles. Most pay $137,450–$199,700 — the shaded band above. At the midpoint, this role pays about $177k versus about $169k 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 608 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 572 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Senior Data Engineer

As a Senior Data Engineer on the Global Marketing Data Engineering team, you will design, develop, and own enterprise-scale marketing data products that transform raw information into scalable, AI-ready assets. You will build and maintain robust data pipelines, ETL/ELT frameworks, and Lakehouse solutions to support campaign measurement, customer intelligence, and audience engagement. Your daily work involves architecting data models, implementing semantic models using DAX and Direct Lake capabilities, and managing the full data lifecycle including ingestion, transformation, and governance. You will utilize technologies such as Microsoft Fabric, Azure, OneLake, and AI-assisted development tools like Copilot to solve complex problems. The role focuses on the marketing domain, specifically integrating diverse signals from CRM, social platforms, and web analytics into a unified source of truth to drive personalized customer journeys and informed executive decision-making.

What does a Data Engineer earn?

Median $167000 from 183 postings across 57 companies.

See salary data

What you'll do

  • Design and own enterprise-scale marketing data products for campaign measurement and customer analytics.
  • Build and maintain scalable data pipelines and Lakehouse solutions using Microsoft Fabric and Azure.
  • Implement robust semantic models and business metrics using DAX and Direct Lake capabilities.
  • Manage the full data lifecycle including modeling, ingestion, transformation, storage, and security.
  • Integrate diverse data sources from CRM, social platforms, and web analytics into unified systems.
  • Establish data quality frameworks, observability solutions, and automated monitoring dashboards.
  • Implement Medallion Architecture patterns to optimize performance and data reuse across the organization.
  • Drive CI/CD automation and infrastructure-as-code practices across development and production environments.

What we're looking for

  • Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 3+ years of relevant experience.
  • Bachelor's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 4+ years of relevant experience.
  • Equivalent experience to the specified degree and year requirements.
  • Master's degree and 6+ years of experience, or Bachelor's degree and 8+ years of experience (preferred).
  • 2+ years of experience with data governance, data compliance, and/or data security (preferred).
  • Proficiency in designing data architectures, data models, and scalable data platforms (preferred).
  • Demonstrated analytical skills to evaluate technical trade-offs and make data-informed decisions (preferred).
  • Effective cross-team communication skills to explain complex concepts to both technical and non-technical stakeholders (preferred).

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