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Design and build federated data platform infrastructure for marketing, managing cost optimization, scalability, and governance across billions of demand signals. Requires six-plus years of software engineering with languages like Python or Java, plus experience with cloud infrastructure-as-code, CI/CD pipelines, identity and access management, and data governance frameworks. Base pay ranges from $142,800 to $274,800 annually, or $188,000 to $304,200 in San Francisco and New York.

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Job Description

Overview

Imagine being at the forefront of a revolution powered by Data and AI (Artificial intelligence), transforming Marketing at Microsoft into a true “Frontier Organization” that drives impact at an unprecedented scale. As a Principle Data Platform Engineer on the Global Marketing Data Engineering team, you will have the opportunity to build cutting-edge data platforms that process and synthesize billions of demand signals, enabling personalized customer journeys, media innovation, and high impact campaigns that redefine customer engagement. By crafting data products that integrate, enrich, and serve deep insights across an infinite number of scenarios, you are not only shaping the future but experiencing it firsthand as we directly contribute to the evolution of our most advanced technologies like Purview and Fabric. Join us to unleash your potential and play a pivotal role as a data innovator with world-changing impact - your journey starts here!  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.



Responsibilities
  • Develop and implement a federated infrastructure strategy for marketing data focused on cost optimization and scalability.
  • Develop monitoring systems and processes for Data Platform infrastructure, pipelines, usage, and access patterns.
  • Build capabilities for data discovery, access management, policy enforcement, and lineage tracking, aligned with the DE data platform vision.
  • Create and deploy frameworks and tools for data quality measurement and monitoring to deliver secure, sustainable, high-performing, and reliable marketing data for consumer needs.
  • Design and roll out data storage framework and solution in line with medallion architecture and automated role-based access controls across all access layers.
  • Establish engineering excellence through best practices, coding standards, and robust code management tooling.
  • Collaborate with Data Product Engineering, Data Ops, and Partner Engineering teams to deliver end-to-end platform solutions.
  • Partner with Fabric, Purview, Azure ML teams to influence product roadmaps and address feature gaps.
  • Implement shared tools for cross-tenant Azure data intake and publishing.
  • Deploy capabilities for data classification, tagging, retention, archival, and deletion to meet privacy policy requirements.
  • Identify and prioritize platform improvements using incident and feedback data.
  • Embody our culture and values.


Qualifications

Required Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
Preferred Qualifications
  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 6+ years of software development lifecycle experience, including 2+ years in a lead role managing big data platforms.
  • 2+ years of Infrastructure-as-Code (Terraform, Bicep, ARM) 
  • 2+ years of CI/CD pipelines and DevOps automationIdentity & access management (RBAC, PIM, conditional access)
  • 2+ years of Governance frameworks (data classification, policy enforcement, compliance controls)
  • Experience with observability (OpenTelemetry, monitoring, logging, SLOs)
  • Experience with incident management and reliability engineering practices 


Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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  • Role Principle Data Platform Engineer
  • Experience 3-4 years
  • Education Any
  • Salary 143K - 275K Yearly
  • Work type Hybrid
  • Location United States
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Microsoft
Hardware & Semiconductors · 500+ Members · Redmond, WA, United States

Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.

Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.

All jobs at Microsoft
Job Overview
Salary
143K - 275K Yearly
Eligibility
United States Right to work in the United States required.
Workplace
Hybrid
Job Posted:
2 days ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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