Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Microsoft Fabric, the Business Intelligence team powers enterprise reporting and visualization through Power BI. As a core workload of Fabric, Power BI serves as the primary interface for users to explore data, generate insights, and make decisions. The team continues to evolve BI from reporting to a more integrated, insight-driven experience that connects seamlessly with the rest of the Fabric platform.
The Intelligent Analytics team within the Power BI - Core AI organization is at the forefront of innovation, developing intuitive experiences for analysts and developers. Their user-centric approach, cross-functional collaboration, and engagement with the Power BI community drive continuous improvement and innovation. Committed to exceeding user expectations, the team receives positive feedback and high satisfaction. As they push the boundaries of data analytics and AI, they aim to help businesses make informed decisions and achieve success.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
- Design, develop, and deliver innovative and impactful features within Power BI
- AI-Native Development - Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
- Providing technical leadership and mentorship to team members
- Partners with and guides appropriate internal and external stakeholders and leverages expertise to determine and confirm customer/user requirements and their feasibility for a set of scenarios
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
Embody our culture and values
Qualifications
Required/Minimum 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, Rust, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Job Requirements: Other & Additional
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred/Additional Qualifications
- 8+ years of experience leading complex technical initiatives that span multiple teams, services, or organizations. Deep expertise in software architecture, system design, scalability, reliability, performance, and operational excellence. Proficiency in Rust, C#, Java, Python, C++, JavaScript, or similar programming languages.
- Experience designing, building, and operating large-scale distributed systems, cloud platforms, production services, or enterprise software systems.
- Experience with Azure, AWS, GCP, or other cloud platforms; Azure experience preferred.
- Understanding of security, privacy, accessibility, compliance, reliability, and Responsible AI principles.
- Experience building or leading AI-powered solutions, production AI applications, LLM-enabled experiences, agentic workflows, intelligent automation, applied machine learning capabilities, or AI-assisted engineering practices.
- Ability to create clarity in ambiguous environments, influence without authority, and align stakeholders around durable technical decisions.
- Communication skills with the ability to translate complex technical concepts into clear engineering, product, and business direction.
- Demonstrated ability to mentor senior engineers and raise the engineering bar across an organization.
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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.
Skills Required
- Bachelor's degree in Computer Science or a related technical field
- 6+ years of technical engineering experience with coding in languages including Rust, C, C++, C#, Java, JavaScript, or Python, or equivalent experience
- Ability to meet Microsoft, customer, and government security screening requirements
- Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- 8+ years of experience leading complex technical initiatives spanning multiple teams, services, or organizations
- Deep expertise in software architecture, system design, scalability, reliability, performance, and operational excellence
- Proficiency in Rust, C#, Java, Python, C++, JavaScript, or similar programming languages
- Experience designing, building, and operating large-scale distributed systems, cloud platforms, production services, or enterprise software systems
- Experience with Azure, AWS, GCP, or other cloud platforms; Azure preferred
- Understanding of security, privacy, accessibility, compliance, reliability, and Responsible AI principles
- Experience building or leading AI-powered solutions, production AI applications, LLM-enabled experiences, agentic workflows, intelligent automation, applied machine learning capabilities, or AI-assisted engineering practices
- Ability to create clarity in ambiguous environments, influence without authority, and align stakeholders around technical decisions
- Ability to communicate complex technical concepts clearly to engineering, product, and business stakeholders
- Demonstrated ability to mentor senior engineers and raise the engineering bar across an organization
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.
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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.
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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.
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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.
