Senior Data Engineer

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$119,800–$234,700 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Mar 15, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 56% of similar roles. Most pay $135,675–$209,675 — the shaded band above. At the midpoint, this role pays about $177k versus about $173k 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 633 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 621 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 trusted, AI-ready assets. You will build and maintain scalable 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 Medallion Architecture patterns, and creating robust semantic models using DAX and Direct Lake capabilities. To achieve these goals, you will utilize Microsoft Fabric, Azure, OneLake, and AI-assisted development tools like Copilot. You will also manage data governance, security, and CI/CD automation while integrating diverse sources such as CRM, social platforms, and web analytics. This role solves the complex challenge of synthesizing billions of demand signals to power personalized customer journeys and advanced marketing insights.

What does a Data Engineer earn?

Median $177300 from 230 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 ETL/ELT pipelines and Lakehouse solutions using Microsoft Fabric and Azure.
  • Create 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, monitoring systems, and observability dashboards to ensure reliable delivery.
  • Implement Medallion Architecture patterns and domain-driven strategies to optimize data reuse.
  • Automate deployment through CI/CD pipelines and infrastructure-as-code practices.

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 educational and experience requirements.
  • 2+ years 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 and ability to evaluate technical trade-offs to make data-informed decisions (preferred).
  • Effective cross-team and technical communication skills for both technical and non-technical stakeholders (preferred).
  • Experience managing stakeholder priorities and resolving conflicts across interconnected teams (preferred).

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