Microsoft

Principal Data Engineer - CoreAI

Microsoft • $142K — $274K *
Mountain View, CA 94040In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's Degree in a relevant field with 4+ years of related experience, or Bachelor's Degree with 6+ years, or equivalent experience.
  • Experience in business analytics, data science, software development, data modeling, or data engineering.
  • Proficiency in architecting large-scale distributed data systems in cloud environments, preferably Azure.
  • Strong coding skills in analytics-oriented languages and algorithms.
  • Understanding of data governance, privacy, and security best practices for regulated environments.
  • Ability to communicate complex technical concepts to diverse audiences.
  • Experience collaborating across functions to achieve alignment and consensus.

Responsibilities

  • Define data and analytics architecture for CoreAI and Foundry platforms, focusing on scalability and reliability.
  • Build and optimize robust data pipelines to support analytics initiatives.
  • Develop scalable ETL/ELT workflows for high-volume data ingestion and transformation.
  • Implement best practices for data quality, security, and compliance.
  • Collaborate with stakeholders to ensure accurate and auditable analytics.
  • Enable teams with self-service analytics tools and trusted data access.
  • Mentor peers and guide complex design decisions, promoting a culture of operational excellence.

Benefits

  • Opportunity for professional growth and mentoring roles.
  • Engagement in cutting-edge AI projects with a significant impact.
  • Access to cross-functional collaboration with diverse teams.
  • Participation in driving innovation in data engineering.
  • Possibility of working in a highly regulated environment with a focus on data governance.
Full Job Description
Responsibilities
  • Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads.
  • Design, build, and optimize large-scale, robust data pipelines and architectures that support CoreAI's analytics initiatives.
  • Develop and extend scalable ETL/ELT workflows, ensuring reliable ingestion, transformation, and storage of high-volume, high-velocity data from diverse sources.
  • Data Governance & Trust: follow best practices for data quality, lineage, security, and compliance.
  • Collaborate with stakeholders to define trustworthy data sets and implement rigorous data validation protocols, ensuring CoreAI's analytics are both accurate and auditable.
  • Analytics Enablement: Partner with data scientists, analysts, and business leaders to translate business needs into technical solutions.
  • Enable self-service analytics and empower teams by building data models, semantic layers, and tools that streamline access to trusted information.
  • Cross-Functional Collaboration: Work closely with product managers, software engineers, AI researchers, and business stakeholders to align data solutions with business goals.
  • Translate ambitious vision into actionable roadmaps and measurable outcomes.
  • Mentor senior engineers and technical leads, guide complex design decisions, and foster a culture of engineering excellence, operational rigor, and continuous learning across the organization.


Qualifications

Required/Minimum Qualifications:

  • 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, data modeling, or data engineering
    • OR 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
      • OR equivalent experience.


Other Requirements:

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:

  • Deep experience architecting and operating large-scale distributed data systems in cloud environments, preferably Azure.
  • Ability to write clean, working code using core algorithms, data structures, and analytics-oriented problem-solving.
  • Extensive experience in implementing and optimizing data pipelines and distributed data systems (e.g., Azure Data Lake, Spark, Synapse, SQL databases).
  • Understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.
  • Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
  • Expertise with modern data engineering languages and frameworks (e.g., Azure Data Explorer, PySpark, SQL, etc).
  • Experience collaborating in cross-functional teams and building consensus among stakeholders with diverse backgrounds (engineering, analytics, product, business).
  • Track record of driving innovation in data engineering, including experience leading technical projects and mentoring others.


Data 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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Enterprise Technology
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ
MSFT
* Ladders Estimates

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