Data Manager Jobs at Microsoft with Visa Sponsorship
Microsoft hires Data Managers to oversee data governance, pipeline integrity, and analytics infrastructure across its cloud and enterprise products. The company has a strong track record of sponsoring work visas for this function, making it one of the more accessible paths for internationally qualified candidates in the technology sector.
See All Data Manager at Microsoft JobsOverview
Showing 5 of 35+ Data Manager Jobs at Microsoft jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 35+ Data Manager Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs at Microsoft.
Get Access To All JobsOverview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate leaders to help us tackle the most interesting and challenging AI questions of our time. Our vision is bold and broad, to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all, consumers, businesses, developers, so that everyone can realize its benefits. We're looking for a Data Infrastructure Manager to lead a team of talented engineers building and scaling the data infrastructure that powers Microsoft's consumer AI. This role sits at the intersection of technical leadership and people management. You'll set the technical direction for large-scale data and ML pipelines, AI agentic workflows, and intelligent systems while growing a high-performing team of ICs. If you've architected big data platforms from the ground up and are now ready to multiply your impact through others, including on some of the most exciting AI infrastructure challenges in the industry, we want to hear from you.
You'll bring:
Deep technical expertise in big data and distributed systems
A track record of leading and developing engineering talent
A passion for automation, observability, and operational excellence
The ability to translate complex technical strategy into clear, executable plans
* Empathy, collaboration, and a growth mindset
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Team Leadership & People Development
Hire, mentor, and develop a team of Data Infrastructure Engineers, fostering a culture of technical excellence, ownership, and continuous growth.
Conduct regular 1:1s, set clear goals, and provide actionable feedback to support each engineer's career development.
* Build and sustain an inclusive, collaborative team environment aligned with Microsoft's values of Respect, Integrity, Accountability, and Inclusion.
Technical Strategy & Architecture
Define and drive the technical vision for a scalable, reliable, and observable Big Data Infrastructure serving mission-critical AI applications, including agentic and intelligent systems.
Lead technical design reviews, establish engineering standards, and ensure a clean, secure, and well-documented codebase.
* Partner with engineers to architect data solutions across storage, compute, and analytics layers, including the pipelines and orchestration frameworks that underpin AI agent workflows, balancing long-term scalability with near-term delivery.
Platform & Operations
Champion DevOps and SRE best practices across the team, including automated deployments, service monitoring, and incident response.
Guide the team in building a self-service big data platform that empowers data engineers, researchers, and partner teams.
Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM.
Lead capacity planning and drive proactive resolution of bottlenecks in data pipelines and infrastructure.
Cross-Functional Collaboration
Act as a key technical partner to Data Engineers, Data Scientists, AI Researchers, ML Engineers, and Developers to deliver secure, seamless big data workflows.
Collaborate with Security teams to uphold strong infrastructure security practices (IAM, OAuth, Kerberos).
* Represent the team in planning and prioritization discussions, translating organizational goals into actionable engineering roadmaps.
Qualifications
Required Qualifications:
* Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
Preferred Qualifications:
Master's Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Bachelor's Degree AND 14+ years, OR equivalent experience.
5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments.
5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize.
Solid scripting and automation fluency in Python, Bash, or PowerShell.
Proven track record managing CI/CD pipelines, release automation, and production incident response.
Hands-on expertise with modern data platforms like Databricks, including deep familiarity with relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems (e.g., HDFS, ADLS Gen2), and messaging systems (e.g., Event Hub, Kafka, RabbitMQ).
Proven experience with cloud-native infrastructure across Azure, AWS, or GCP.
Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams.
Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale.
* Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
MicrosoftAI #MAIDPS
Compensation
- Salary Range: $139,900 - $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:
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.
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate leaders to help us tackle the most interesting and challenging AI questions of our time. Our vision is bold and broad, to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all, consumers, businesses, developers, so that everyone can realize its benefits. We're looking for a Data Infrastructure Manager to lead a team of talented engineers building and scaling the data infrastructure that powers Microsoft's consumer AI. This role sits at the intersection of technical leadership and people management. You'll set the technical direction for large-scale data and ML pipelines, AI agentic workflows, and intelligent systems while growing a high-performing team of ICs. If you've architected big data platforms from the ground up and are now ready to multiply your impact through others, including on some of the most exciting AI infrastructure challenges in the industry, we want to hear from you.
You'll bring:
Deep technical expertise in big data and distributed systems
A track record of leading and developing engineering talent
A passion for automation, observability, and operational excellence
The ability to translate complex technical strategy into clear, executable plans
* Empathy, collaboration, and a growth mindset
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Team Leadership & People Development
Hire, mentor, and develop a team of Data Infrastructure Engineers, fostering a culture of technical excellence, ownership, and continuous growth.
Conduct regular 1:1s, set clear goals, and provide actionable feedback to support each engineer's career development.
* Build and sustain an inclusive, collaborative team environment aligned with Microsoft's values of Respect, Integrity, Accountability, and Inclusion.
Technical Strategy & Architecture
Define and drive the technical vision for a scalable, reliable, and observable Big Data Infrastructure serving mission-critical AI applications, including agentic and intelligent systems.
Lead technical design reviews, establish engineering standards, and ensure a clean, secure, and well-documented codebase.
* Partner with engineers to architect data solutions across storage, compute, and analytics layers, including the pipelines and orchestration frameworks that underpin AI agent workflows, balancing long-term scalability with near-term delivery.
Platform & Operations
Champion DevOps and SRE best practices across the team, including automated deployments, service monitoring, and incident response.
Guide the team in building a self-service big data platform that empowers data engineers, researchers, and partner teams.
Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM.
Lead capacity planning and drive proactive resolution of bottlenecks in data pipelines and infrastructure.
Cross-Functional Collaboration
Act as a key technical partner to Data Engineers, Data Scientists, AI Researchers, ML Engineers, and Developers to deliver secure, seamless big data workflows.
Collaborate with Security teams to uphold strong infrastructure security practices (IAM, OAuth, Kerberos).
* Represent the team in planning and prioritization discussions, translating organizational goals into actionable engineering roadmaps.
Qualifications
Required Qualifications:
* Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
Preferred Qualifications:
Master's Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Bachelor's Degree AND 14+ years, OR equivalent experience.
5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments.
5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize.
Solid scripting and automation fluency in Python, Bash, or PowerShell.
Proven track record managing CI/CD pipelines, release automation, and production incident response.
Hands-on expertise with modern data platforms like Databricks, including deep familiarity with relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems (e.g., HDFS, ADLS Gen2), and messaging systems (e.g., Event Hub, Kafka, RabbitMQ).
Proven experience with cloud-native infrastructure across Azure, AWS, or GCP.
Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams.
Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale.
* Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
MicrosoftAI #MAIDPS
Compensation
- Salary Range: $139,900 - $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:
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.
See all 35+ Data Manager at Microsoft jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager at Microsoft roles.
Get Access To All JobsTips for Finding Data Manager Jobs at Microsoft Jobs
Align your credentials to Microsoft's data stack
Microsoft's Data Manager roles frequently involve Azure, SQL Server, and Power BI. Earning relevant Microsoft certifications before applying signals technical fluency in the tools the hiring team actually uses, which strengthens both your candidacy and your specialty occupation case for H-1B or E-3 purposes.
Target teams with active data infrastructure builds
Microsoft's Azure and AI divisions tend to hire Data Managers in larger batches than legacy product teams. Filtering your search by business group, not just job title, helps you land in a pipeline where sponsorship is already an established part of the hiring workflow.
Confirm sponsorship intent before final interview rounds
Microsoft's recruiters are experienced with visa processes, but sponsorship eligibility can vary by team budget and headcount approvals. Ask your recruiter directly whether the specific team has sponsored this role before, so you're not navigating that conversation after an offer is extended.
Understand the LCA timing in your offer negotiation
Before your H-1B or E-3 petition can be filed, Microsoft must obtain a certified Labor Condition Application from the DOL, which typically takes seven business days. Build this into your expected start date so neither side is caught off-guard during onboarding.
Use Migrate Mate to find open Data Manager roles at Microsoft
Tracking which Microsoft teams are actively hiring Data Managers with sponsorship intent isn't straightforward from generic job boards. Migrate Mate surfaces roles filtered by visa sponsorship, so you can focus your applications on positions where your work authorization situation is already accounted for.
Prepare a degree-to-role mapping document before your interview
USCIS requires a direct connection between your degree field and the Data Manager role for specialty occupation approval. Draft a clear written explanation linking your academic background to the specific responsibilities in Microsoft's job description, so your employer's immigration counsel can draft the petition efficiently.
Data Manager at Microsoft jobs are hiring across the US. Find yours.
Find Data Manager at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Data Managers?
Yes, Microsoft sponsors H-1B visas for Data Manager roles. The company has established immigration support infrastructure and works with experienced immigration counsel to file petitions. Because H-1B selection depends on the annual lottery, Microsoft typically submits registrations in March for a position start date of October 1. If you're already H-1B-capped exempt, the process can move faster.
Which visa types does Microsoft commonly use for Data Manager roles?
Microsoft sponsors multiple visa categories for Data Manager positions, including the H-1B, E-3 for Australian citizens, and H-1B1 for candidates from Chile and Singapore. For permanent residency, Microsoft supports EB-2 and EB-3 Green Card pathways. The right category depends on your nationality, degree level, and how the role is classified internally.
What qualifications does Microsoft expect for Data Manager roles?
Microsoft typically expects a bachelor's degree or higher in computer science, information systems, data engineering, or a related quantitative field. Hands-on experience with Azure data services, SQL, and data governance frameworks is commonly required. For senior-level positions, experience leading data teams or managing enterprise-scale pipelines adds significant weight to your application.
How do I apply for Data Manager jobs at Microsoft?
Applications go through Microsoft's careers portal, where you can filter by role title and location. You can also find Data Manager openings at Microsoft filtered by visa sponsorship on Migrate Mate, which helps you confirm that a role is open to candidates who need work authorization. Tailor your resume to reflect the specific Azure and data governance tools listed in the job description.
How do I plan my timeline if I need sponsorship for a Microsoft Data Manager role?
If you need an H-1B, the cap registration window opens in March and selection results come in April, with employment starting October 1 at the earliest. E-3 and H-1B1 visas have no lottery and can be processed year-round, often within four to eight weeks from LCA certification through consular approval. Start conversations with Microsoft recruiters at least three to four months before your current authorization expires.
See which Data Manager at Microsoft employers are hiring and sponsoring visas right now.
Search Data Manager at Microsoft Jobs