Senior Data Architect - Digital Transformation Solutions

Senior • On-site

$119,800 - $234,700/yr

Redmond, WA

Overview

The Windows and Devices mission is to create innovative, trusted, and open products focused on people, showcasing Microsoft’s best and empowering everyone to achieve more. Microsoft Devices designs and manufactures premium hardware like Surface and Xbox, innovating throughout the supply and manufacturing process. Within the Windows and Devices group, Microsoft Devices Operations manages supply chains, product engineering, manufacturing, and services to deliver iconic products. Data plays a vital role in these operations, and if you want to develop scalable data services on Azure, this is the place.

We are seeking a visionary and technically skilled Senior Data Architect - Digital Transformation Solutions, to lead the design and implementation of advanced data solutions that power AI-driven insights across our enterprise. This role will focus on semantic data modeling, ontology development, and data engineering within the Microsoft Fabric ecosystem, enabling scalable, intelligent data platforms that support analytics, machine learning, and decision-making.

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.

Qualifications

Required Qualifications:

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
- OR equivalent experience.
Knowledge of Microsoft Fabric components and ecosystem.
Experience in ontology engineering and graphs.
Experience with machine learning pipelines, feature stores, and model metadata management.
Familiarity with data governance frameworks and metadata standards.

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 Qualifications:

8+ years of experience in data architecture.
3+ years focused on AI and semantic modeling.
Experience with GenAI, LLMs, and vector databases.
Familiarity with data governance frameworks and metadata standards (e.g., DCAT, schema.org).
Proficient communication and leadership skills.
Proficiency in data engineering tools (e.g., Azure Data Factory, Databricks, Spark, SQL).
Certification in Microsoft Azure or Microsoft Fabric technologies.
Contributions to open-source ontology or semantic web projects.

Data 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

Microsoft will accept applications for the role until October 31, 2025.

#W+DJOBS

Responsibilities

Architect and implement scalable data solutions using Microsoft Fabric, including OneLake, Data Factory, Synapse, and Power BI.
Design and maintain enterprise ontologies and semantic models to support AI and knowledge graph initiatives.
Collaborate with AI/ML teams to ensure data structures and pipelines support advanced analytics and model training.
Lead the data engineering strategy, including ingestion, transformation, and orchestration of structured and unstructured data.
Define and enforce data governance, metadata management, and data quality standards.
Partner with business stakeholders to translate strategic goals into data architecture requirements.
Evaluate and integrate emerging technologies in AI, semantic web, and data mesh architectures.
Mentor junior architects and engineers, fostering a culture of innovation and excellence.

Microsoft

Microsoft is a global technology company that focuses on empowering every person and organization to achieve more. With a mission to deliver the core infrastructure and foundational technologies for Microsoft's online businesses, including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform, the company is dedicated to powering the 'Intelligent Cloud' mission. Microsoft values respect, integrity, and accountability, and fosters a culture of inclusion where employees can thrive. The company is committed to continuous improvement and collaboration to drive innovation and provide high-quality results to customers. With a diverse and inclusive workforce, Microsoft is an equal opportunity employer.