Jobs
Overview
Imagine being at the forefront of a revolution powered by Data and AI, transforming Marketing at Microsoft into a true “Frontier Organization” that drives impact at an unprecedented scale. As a Senior Software Engineer, part of the **Global Marketing Data Engineering **team, you will help 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 developing data products that integrate, enrich, and serve deep insights across a wide range of scenarios, you will directly contribute to the evolution of advanced technologies like Purview and Fabric. Join us to unleash your potential and play a key role as a data innovator—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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
- Responsibilities- Design, Build and maintain agentic workflow automation, monitoring systems and processes for Data Platform operations, infrastructure, pipelines, usage, and access patterns.
- Contribute to the development and implementation of infrastructure strategies for marketing data focused on cost optimization and scalability.
- Develop capabilities for data discovery, access management, policy enforcement, and lineage tracking, aligned with the 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 implement data storage solutions in line with medallion architecture and automated role-based access controls.
- Promote 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.
- Work with Fabric, Purview, and Azure ML teams to address feature gaps and support product roadmaps.
- Support shared tools for cross-tenant Azure data intake and publishing.
- Implement 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/minimum qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.
Additional or preferred qualifications - Master'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 PythonOR Bachelor'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 equivalent experience.
- 4+ years of software development lifecycle experience, including experience working with big data platforms.
- 3+ years experience in Azure infrastructure, building AI agents and hands-on experience in Azure CLI, AAD Graph, Azure Data stack (e.g., Synapse, ADB, ADF, Cosmos, Data Explorer, Fabric), and data visualization tools.
- 2+ years working with Clean Room Technology, data egress processes, modern data engineering, analytics, and machine-learning tools.
- 2+ years experience in program management, planning, execution, engineering design reviews, POCs, and solution development.
#Eand Ejobs
Software 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 $158,400 - $258,000 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.
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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
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Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Junior/L3
Mid/L4
Junior/L3 · Advertising Client Success
2 reports
$163,358
total / year
Base
$141,875
Stock
-
Bonus
-
$163,358
$163,358
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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