1 day ago
Base Salary
$143k - $304k/yr
Responsibilities
- Architect scalable distributed data systems for infrastructure telemetry and cloud product consumption data.
- Design reusable data processing frameworks, canonical data models, data contracts, and reliable batch and streaming pipelines.
- Lead architectural decisions across cloud data platforms, distributed compute, data lakes, analytical serving systems, and data processing architectures.
- Develop AI-powered coding, modernization, testing, code review, failure triage, and operational knowledge workflows.
- Establish governance, security, correctness, testing, observability, and production-readiness controls for AI-generated code and data platforms.
- Drive improvements in engineering productivity, development lead time, test automation, defect reduction, pipeline reliability, observability, and recovery time.
- Lead cross-team technical initiatives and influence architecture and engineering strategy.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Production programming experience in Scala, Python, C#, Java, or equivalent languages.
- Expertise building and operating cloud-native data platforms using technologies such as Microsoft Fabric, Azure Synapse, Azure AI Foundry, and Azure Machine Learning.
- Deep proficiency in Apache Spark, Delta Lake, distributed systems, SQL, and large-scale batch or streaming data processing.
- Experience with data modeling, analytical data systems, SQL-based analysis, distributed workload optimization, data quality, governance, lineage, and operational excellence.
- Understanding of statistical analysis, time-series analytics, anomaly detection, and forecasting.
- Experience applying AI coding assistants, LLMs, and agentic workflows to software development, modernization, testing, and automation.
- Understanding of RAG, embeddings, semantic search, tool calling, and agent orchestration, including security, correctness, reliability, and human oversight controls.
- Ability to lead cross-team technical initiatives, influence architecture and strategy, navigate ambiguity, and deliver measurable business outcomes.
- Successful completion of the Microsoft Cloud background check upon hire or transfer and every two years thereafter.
Benefits
- The role is onsite three days per week at Microsoft's offices in Redmond, Washington.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for at least five days and accepts applications 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.