About this role

Overview Imagine being at the forefront of a transformation powered by Data and AI, helping Marketing at Microsoft become a true “Frontier Organization” by modernizing how data is built, governed, discovered, and consumed. As a Software Engineer II on the Global Marketing Data Engineering team, you will help build the next generation of Marketing data platform capabilities using Microsoft Fabric, OneLake, Azure, and AI-native engineering patterns.This role will work on reusable platform capabilities that make data easier to discover, trust, govern, access, operate, and consume across Marketing. You will contribute to modernizing the data estate through Fabric adoption, governed data products, metadata-driven engineering, data quality, observability, self-service capabilities, and AI-assisted development. You will also help evolve shared platform capabilities that enable teams to move away from fragmented and bespoke implementations toward standardized, reusable engineering patterns. This is a hands-on software engineering role for someone who enjoys building modern data platforms, experimenting with emerging AI capabilities, and translating platform architecture into scalable production solutions.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 <ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Design, develop, and operate modern data platform capabilities using Microsoft Fabric, OneLake, Azure, and related technologies.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Build reusable frameworks and services for data ingestion, transformation, publishing, and data-product engineering, reducing bespoke implementations across teams.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Help modernize existing workloads and data pipelines onto Microsoft Fabric and governed Lakehouse architecture.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Develop platform capabilities that improve data discoverability, metadata management, ownership, lineage, readiness, quality, health, and access experiences.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Build and enhance shared platform capabilities supporting the broader Marketing data control-plane strategy.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Develop metadata-driven and configuration-driven engineering frameworks that reduce manual development and accelerate onboarding of new data products.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Apply AI-assisted and agentic engineering techniques to code generation, migration, testing, documentation, metadata generation, schema mapping, and other data-engineering workflows.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Explore and implement patterns for exposing trusted data and metadata to AI agents, MCP-based services, ontology-driven experiences, and other AI applications.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Build reusable APIs, microservices, workers, and platform components that can be adopted across multiple Marketing data scenarios.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Develop automated capabilities for data quality validation, testing, schema enforcement, monitoring, and operational health.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Partner with Data Engineering, Platform Engineering, DataOps, Security/Governance, and product teams to deliver end-to-end platform solutions.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Work with Microsoft Fabric, Purview, Azure, and AI product teams to evaluate emerging capabilities and integrate appropriate technologies into the Marketing data ecosystem.</li><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Use telemetry, customer feedback, incidents, and usage data to continuously improve platform capabilities.</li></ul>Embody Microsoft’s culture and values. Qualifications Required Qualifications <ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul style="list-style-type: circle; margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">OR equivalent experience.</li></ul></li></ul> Preferred Qualifications <ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with software engineering fundamentals, including data structures, APIs, distributed systems concepts, testing, and production-quality software development.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience developing or operating data platforms, data pipelines, distributed data-processing systems, cloud applications, microservices, or event-driven architectures.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with Microsoft Azure or comparable cloud platforms.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with modern data technologies such as Microsoft Fabric, OneLake, Lakehouse, Spark, Azure Data Factory, Synapse, Databricks, Cosmos DB, Azure Data Explorer, or equivalent technologies.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience developing data ingestion, transformation, modeling, or publishing solutions, including reusable data-engineering frameworks, APIs, services, or internal platform capabilities.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with metadata-driven or configuration-driven data platforms and governance technologies such as Microsoft Purview, data catalogs, data lineage, and data classification.</li><li style="margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience using Git-based development, automated testing, CI/CD, and modern software-development practices.</li><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with generative AI, agents, MCP, semantic/ontology models, AI-ready data-product patterns, and applying AI and automation to data-engineering workflows.</li></ul> Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>