This role pays more than
66%
of similar roles. Most pay
$142,250–$216,000
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$179k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 589 roles with salary data.
As a Principle Data Platform Engineer on the Global Marketing Data Engineering team, you will build cutting-edge data platforms that process and synthesize billions of demand signals to enable personalized customer journeys and media innovation. You will develop federated infrastructure strategies for cost optimization, create monitoring systems for pipelines and access patterns, and build capabilities for data discovery, lineage tracking, and quality measurement. Your work involves designing storage frameworks using medallion architecture, implementing automated role-based access controls, and managing data classification to meet privacy requirements. You will collaborate with cross-functional teams to deliver end-to-end solutions while influencing product roadmaps for Purview and Fabric. The role requires proficiency in C, C++, C#, Java, JavaScript, or Python, along with experience in Infrastructure-as-Code using Terraform, Bicep, or ARM, CI/CD pipelines, OpenTelemetry, and reliability engineering practices.
Develop and implement a federated infrastructure strategy for marketing data focused on cost optimization and scalability.
Build monitoring systems for data platform infrastructure, pipelines, usage, and access patterns.
Create capabilities for data discovery, access management, policy enforcement, and lineage tracking.
Deploy frameworks and tools to measure and monitor data quality for reliable consumer delivery.
Design and roll out a medallion architecture storage framework with automated role-based access controls.
Implement shared tools for cross-tenant Azure data intake and publishing.
Deploy capabilities for data classification, tagging, retention, and deletion to meet privacy requirements.
Identify and prioritize platform improvements based on incident reports and user feedback.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science and 8+ years of engineering experience (preferred).
Bachelor's Degree in Computer Science and 12+ years of engineering experience (preferred).
6+ years of software development lifecycle experience, including 2+ years leading big data platforms (preferred).
2+ years of experience with Infrastructure-as-Code tools such as Terraform, Bicep, or ARM (preferred).
2+ years of experience with CI/CD pipelines and DevOps automation (preferred).
2+ years of experience in Identity & access management and Governance frameworks (preferred).
Experience with observability, incident management, and reliability engineering practices (preferred).
Data Lake
Data Pipeline Architecture
Python
Cribl
Kafka
Logstash
Fluentd
DevSecOps
CI/CD
Linux
Windows
Security Automation
Zero Trust
Stream Processing