We are looking for an AdTech Clean Room Senior Data Engineer to join Microsoft's AdTech Engineering organization. This role will be responsible for designing, building, securing, and operating the infrastructure required to support Microsoft's next-generation clean room capabilities, including ACCR, privacy-safe audience activation, identity resolution, measurement, and partner data collaboration initiatives.
As Microsoft expands its investment in clean room technologies and privacy-safe marketing solutions, this engineer will play a critical role in establishing the foundational platform, security controls, data movement patterns, identity services, and operational frameworks required to support clean room workloads at scale. This role requires experience in cloud infrastructure, data platforms, security, privacy, and platform engineering to deliver highly secure, compliant, and scalable environments that enable collaboration between Microsoft and external partners while protecting sensitive customer and commercial data.
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
Clean Room Platform Engineering
Design, build, and operate the infrastructure supporting Microsoft's clean room ecosystem and privacy-preserving data collaboration capabilities.
Develop scalable platform patterns for clean room data onboarding, audience creation, identity matching, measurement, and activation workflows.
Build reusable infrastructure components and secure data exchange mechanisms that support multiple partners, data providers, and clean room use cases.
Infrastructure, Security & Compliance
Implement infrastructure supporting ISO-certified and highly regulated environments required for sensitive audience and identity processing initiatives.
Design and manage access controls, network isolation, identity management, encryption, auditing, and monitoring capabilities.
Partner with Privacy, Security, and Compliance teams to ensure adherence to NGP, privacy-by-design, data governance, audit requirements, and support environment readiness activities, certifications, audits, and compliance reviews.
Identity & Data Enablement
Enable secure infrastructure for identity resolution, audience matching, consent management, opt-out processing, and partner data onboarding.
Build platform services supporting first-party, third-party, and partner data ingestion into clean room environments, including infrastructure requirements for commercial identity graph, audience activation, and clean room measurement capabilities.
Reliability & Operational Excellence
Develop observability, monitoring, logging, alerting, and operational automation for clean room services and data pipelines.
Define and maintain reliability, security, and operational readiness standards.
Automate deployment, environment provisioning, configuration management, and operational controls.
Lead root cause investigations and drive preventative improvements for critical platform services.
Platform Strategy & Architecture
Define infrastructure standards, architecture patterns, and engineering practices for clean room technologies.
Evaluate emerging clean room technologies, privacy-enhancing technologies (PETs), identity solutions, and secure collaboration frameworks.
Partner with Engineering, Marketing, Privacy, Security, Data Engineering, and external partners to develop scalable long-term clean room solutions.
Embody our culture and values.
Qualifications
Required Qualifications
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience.
Preferred Qualifications
5+ years in infrastructure, cloud, platform, DevOps, SRE, or data platform engineering, including Azure and enterprise-scale systems.
Experience building secure environments for sensitive or regulated data, including identity and access management, security architecture, governance, auditing, and ISO, SOC, privacy, or regulatory controls.
Experience with CI/CD, Infrastructure as Code, automated provisioning, observability, and platform operations.
Experience designing privacy-safe data collaboration solutions using clean rooms, privacy-enhancing technologies, confidential computing, identity resolution, consent management, audience matching, or measurement.
Experience with large-scale analytics platforms—such as Microsoft Fabric, Databricks, Spark, Azure Data Factory, Event Hubs, or Synapse—and AdTech or MarTech capabilities such as audience activation, identity graphs, CDPs, and measurement platforms.
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.
Skills Required
- Master’s degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field and 3+ years of experience in business analytics, data science, software development, data modeling, or data engineering; or equivalent experience.
- Bachelor’s degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field and 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering; or equivalent experience.
- 5+ years of experience in infrastructure, cloud, platform, DevOps, SRE, or data platform engineering, including Azure and enterprise-scale systems.
- Experience building secure environments for sensitive or regulated data, including identity and access management, security architecture, governance, auditing, and ISO, SOC, privacy, or regulatory controls.
- Experience with CI/CD, Infrastructure as Code, automated provisioning, observability, and platform operations.
- Experience designing privacy-safe data collaboration solutions using clean rooms, privacy-enhancing technologies, confidential computing, identity resolution, consent management, audience matching, or measurement.
- Experience with large-scale analytics platforms such as Microsoft Fabric, Databricks, Spark, Azure Data Factory, Event Hubs, or Synapse, and AdTech or MarTech capabilities such as audience activation, identity graphs, CDPs, and measurement platforms.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
-
Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
-
Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
-
Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
.png)
.png){kind=logo}
