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: careers.microsoft.com 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.

Requirements

Must-haves

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

Nice-to-haves

OR equivalent experience.
Experience with observability (OpenTelemetry, monitoring, logging, SLOs)
Experience with incident management and reliability engineering practices
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

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aiazuremljavajavascriptpythonci/cd

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Vision