Senior Data Engineer

Job description

Imagine being at the forefront of a revolution powered by Data and AI (Artificial intelligence), transforming Marketing at Microsoft into a true “Frontier Organization” that drives impact at an unprecedented scale.

As part of the Global Marketing Data Engineering team, you will have the opportunity to 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 crafting data products that integrate, enrich, and serve deep insights across an infinite number of scenarios, you are not only shaping the future but experiencing it firsthand as we directly contribute to the evolution of our most advanced technologies like Purview and Fabric.

Join us to unleash your potential and play a pivotal role as a data innovator with world-changing impact - 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**

+ Lead, own and drive data acquisition, ETL processing and product development for commercial marketing data products to enable critical analytical insights and campaign performance measurement.
+ Build scalable and performant semantic models using Microsoft Fabric Platform and develop metrics and insights using DAX [Data Analysis expressions] calculations.Curate a healthy backlog of capabilities and features for your data products and drive delivery of the backlog through vendor teams.
+ Be the SME (Subject Matter Expert) of your data domain and the single accountable POC (Point of Contact) owning the delivery of high-quality data product that meets customer needs.
+ Drive end-to-end data architecture, data modeling, design, build and delivery for your data products/models.
+ Coordinate with source data owners to obtain access and identify data handling and security requirements.
+ Develop proof-of-concept tools to validate connectivity, throughput, correctness, and limitations of those data sources.
+ Work closely with Technical PMs (Program Managers), stakeholders, Analysts, and Data Scientists to define the data strategy that best meets their needs.Collaborate with Peer Developers, Data Architects, source partner engineering team and Data Operations to implement successful solutions.Create data quality and monitoring for key end to end data flows to ensure data reliability and issue visibility and responsiveness.
+ Contribute to enhancing the architecture, design principles and framework through inputs and feedback from domain specific scenarios and use cases.
+ Embody our culture and values .

**Qualifications**

**Required/Minimum Qualifications**

+ 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 work
+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, or data engineering work
+ OR equivalent experience.
+ 4+ years of experience with software development in big data, with 2+ years experience as a development lead managing big data platforms.
+ Experience developing and using Azure Data stack (Synapse, ADB [Azure Data bricks], ADF [Azure Data Factory], Cosmos, Azure Data explorer, Fabric) and data visualization tools.
+ Experience with data architecture, data modeling, designing, and building data pipelines for Operational, Advanced analytics and AI (Artificial Intelligence) agent/ML (Machine Learning) workloads.
+ Experience in setting up and running Agile/Scrum teams (including ADO [Azure Developer Operations] or similar for example) set up, estimation, planning, and tracking burn downs.
+ Familiarity and experience with secure development practices and implementing Privacy compliant data processing, storage, and access solutions.

**Additional or Preferred Qualifications**

+ Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ 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 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
+ OR equivalent experience.
+ 2+ years of experience managing execution through vendor teams.
+ Previous experience in digital media, marketing, adobe suite of products, web analytics, or any in-house Microsoft data platforms is a plus.
+ Demonstrated ability to work independently across organization partnering with technical and non-technical audience, comfortable making tough decisions based on qualitative and quantitative inputs.

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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

Microsoft will accept applications for the role until October 22nd, 2025.

#eandejobs

Microsoft is an equal opportunity employer.

Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .

Required Skill Profession

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