2 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Lead the design and build of Xbox’s semantic model, including certified metric definitions, dimensions, and metric views on Databricks.
- Partner with business and product owners to define and certify metrics, including population, grain, time window, and caveats.
- Build reconciliation, data-quality, freshness-monitoring, and alerting checks for certified metrics.
- Provide metadata, lineage, documentation, and query patterns that enable AI agents to identify and use the correct metrics.
- Help build evaluation sets to measure whether AI agents answer questions correctly.
- Use telemetry analysis and statistical judgment to define product metrics, support A/B experiment scorecards, and explain unexpected metric movements.
- Set standards for certified data publishing, including ownership, lineage, access controls, and catalog documentation.
- Retire duplicate or uncertified data assets as certified replacements become available.
- Review designs, mentor engineers and data scientists, and lead through influence across the Xbox data organization.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- 8+ years of experience building and operating production data pipelines and data models using SQL and Python on Spark-based platforms such as Databricks.
- Experience designing semantic or metric layers, such as Databricks Unity Catalog metric views or Power BI semantic models, and dimensional data models.
- 3+ years of hands-on data science or analytics experience, including defining product metrics, analyzing large-scale telemetry, and applying statistical methods.
- Experience designing metrics for online experimentation, including metric sensitivity, variance, and guardrail metrics.
- Experience validating data and metrics at scale, including reconciliation against source systems and tradeoffs of approximate distinct counts.
- Experience making data usable by AI agents or LLM applications through text-to-SQL, catalog and documentation retrieval, Model Context Protocol tools, or answer-accuracy evaluation sets.
- Experience applying data governance in a large organization, including ownership, lineage, access controls, and privacy requirements.
- Experience using AI tools such as GitHub Copilot in data engineering and analytics work.
- Experience with gaming, subscription, or other consumer products.
Benefits
- The typical U.S. base pay range is USD $142,800–$274,800 per year.
- The base pay range for specific work locations in the San Francisco Bay Area and New York City metropolitan area is USD $188,000–$304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for a minimum of 5 days and applications are accepted on an ongoing basis until filled.
Tech Stack
Categories
Data Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.