This role pays more than
60%
of similar roles. Most pay
$138,325–$202,482
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$170k
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
599 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 564 roles with salary data.
The Senior Data Engineer joins the AdTech Engineering organization to design, build, and operate infrastructure for next-generation clean room capabilities. This role focuses on developing scalable platform patterns for data onboarding, audience creation, identity matching, and measurement workflows. The engineer will build reusable infrastructure components, secure data exchange mechanisms, and operational frameworks for privacy-safe marketing solutions. Key responsibilities include implementing access controls, network isolation, encryption, and auditing for highly regulated environments. Required skills include experience in cloud infrastructure, data platforms, security, and platform engineering. Preferred technical expertise includes Azure, Microsoft Fabric, Databricks, Spark, Azure Data Factory, Event Hubs, and Synapse. The role addresses the technical challenge of enabling secure, compliant collaboration between partners while protecting sensitive customer and commercial data through privacy-enhancing technologies.
What does a Data Engineer earn?
Median $162000 from 188 postings across 59 companies.
Design, build, and operate the infrastructure supporting Microsoft's clean room ecosystem and privacy-preserving data collaboration.
Develop scalable platform patterns for data onboarding, audience creation, identity matching, and activation workflows.
Build reusable infrastructure components and secure data exchange mechanisms for multiple partners and data providers.
Implement infrastructure for ISO-certified environments, including access controls, network isolation, encryption, and auditing.
Enable secure infrastructure for identity resolution, consent management, and partner data ingestion into clean room environments.
Develop observability, monitoring, logging, and operational automation for clean room services and data pipelines.
Automate deployment, environment provisioning, configuration management, and operational controls.
Define infrastructure standards and architecture patterns for clean room technologies and privacy-enhancing technologies.
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 required degrees and years of experience.
5+ years in infrastructure, cloud, platform, DevOps, SRE, or data platform engineering, including Azure and enterprise-scale systems (preferred).
Experience building secure environments for sensitive or regulated data, including IAM, security architecture, governance, auditing, and ISO/SOC/privacy controls (preferred).
Experience with CI/CD, Infrastructure as Code, automated provisioning, observability, and platform operations (preferred).
Experience designing privacy-safe data collaboration solutions using clean rooms, PETs, confidential computing, identity resolution, or audience matching (preferred).
Experience with large-scale analytics platforms like Microsoft Fabric, Databricks, Spark, or Synapse and AdTech/MarTech capabilities (preferred).
Microsoft Azure
Microsoft Fabric
Infrastructure-as-Code
CI/CD
Terraform
Bicep
ARM
Python
C#
Java
JavaScript
PowerShell
Azure DevOps
GitHub Actions
DevOps
SRE
FinOps
Cosmos DB
Azure Databricks
AKS
Azure Data Factory
Synapse
Azure Data Explorer
Event Hubs
Functions
Observability