Infrastructure Data & Analytics | Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: California
Salary: $142,800–$274,800 / yr
Posted: 116 days ago
Closes: Aug 8, 2026
Nearby: 47 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $209k

$127k most similar roles pay here $291k

This role pays more than 60% of similar roles. Most pay $165,000–$226,600 — the shaded band above. At the midpoint, this role pays about $209k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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At a glance

TL;DR · Infrastructure Data & Analytics | Microsoft Careers

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Join our Microsoft AI team as an experienced Infrastructure Data & Analytics Engineer and take charge of the technical vision for infrastructure analytics, transforming raw telemetry into actionable insights. You will design scalable data pipelines that ingest telemetry from clusters and health systems into a Data Warehouse, standardize core metrics, and architect self-service dashboards for visibility at various levels. This role involves close collaboration with stakeholders to ensure metrics align with operational realities and requires expertise in distributed data processing frameworks, ETL orchestration tools like Airflow or Dagster, and strong communication skills to influence executive-level decisions. Ideal candidates have extensive experience in data engineering and analytics platforms, particularly in a startup environment, and can lead robust system implementations while ensuring data quality and governance.

Skills

Python SQL Distributed_data_processing_frameworks ETL_orchestration Data_warehousing Self_service_dashboards API_design Cloud_services Data_quality_control Data_governance Metric_standardization CI/CD Kubernetes Terraform Prometheus Grafana

What you'll do

Design and build scalable data pipelines for ingesting telemetry into the Data Warehouse.
Define and standardize core metrics for utilization, capacity, readiness, and efficiency.
Architect self-service dashboards and APIs for visibility at various levels.
Lead technical decisions on data architecture and engineering to shape executive discussions.
Identify and drive fixes for data gaps and instrumentation issues in upstream systems.

What we're looking for

8+ years of technical engineering experience in data engineering, analytics, or data science.
Bachelor’s degree in computer science or related technical field.
6+ years of experience with distributed data processing frameworks and large-scale data systems.
Experience as a technical lead for infrastructure analytics across compute, storage, and networking.
Ability to design and build scalable data pipelines and maintain self-service dashboards.