Note: The job is a remote job and is open to candidates in USA. Microsoft is seeking experienced Infrastructure Data & Analytics Engineers to join their AI team, focusing on infrastructure analytics to provide decision-quality insights. This role involves leading technical efforts to design and build scalable data pipelines, ensuring metrics reflect operational realities, and maintaining data quality and governance.
Responsibilities
- Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking
- Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse
- Define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production)
- Architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility
- Partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality
- Implement robust and fault-tolerant systems for data ingestion and processing
- Lead data architecture and engineering decisions, applying strong technical judgment to proactively shape executive-level discussions and decisions
- Identify data gaps and instrumentation issues; drive fixes by influencing upstream engineering teams
- Establish data quality, validation, documentation, and governance so metrics are trusted and repeatable
Skills
- Bachelor's degree in computer science, or related technical field AND 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 6+ years experience with distributed data processing frameworks and large-scale data systems + OR equivalent experience
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 10+ years experience with distributed data processing frameworks and large-scale data systems + OR equivalent experience
- Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems
- Hands-on experience with ETL orchestration frameworks such as Airflow, Dagster, or similar
- Strong communication skills; can explain complex systems clearly to senior leader
Benefits
- 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
Company Overview
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. It was founded in 1975, and is headquartered in Redmond, Washington, USA, with a workforce of 10001+ employees. Its website is https://www.microsoft.com.Company H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships, with 1317 in 2026, 9192 in 2025, 9343 in 2024, 7677 in 2023, 11403 in 2022, 7210 in 2021, 7852 in 2020. Please note that this does not guarantee sponsorship for this specific role.