JobsMember of Technical Staff, Infrastructure Data & Analytics - MAI Superintelligence Team
Member of Technical Staff, Infrastructure Data & Analytics - MAI Superintelligence Team
MicrosoftMember of Technical Staff, Infrastructure Data & Analytics - MAI Superintelligence Team
MicrosoftLocation
USA
Type
Full-time
Posted
5/5/2026
Compensation
$139,900 - $331,200 per year
Undergraduate with 5+ Years of Experience
Approval 98.4%·Filings 6,363·New hires 3,142·
👑 Elite Sponsor
·FY 2025Job description
The Infrastructure Data & Analytics Engineer role at Microsoft AI involves owning the technical vision and execution for infrastructure analytics. This position is critical for transforming raw telemetry into actionable insights that aid in decision-making for the Microsoft AI SuperIntelligence leadership. The team focuses on creating AI systems that amplify human potential while ensuring safety and control. Candidates should be prepared to work in a collaborative environment that values innovation and inclusion.
Requirements
- Bachelor's degree in computer science or a related technical field and 8+ years of technical engineering experience with data engineering, analytics, or data science.
- 6+ years of experience with distributed data processing frameworks and large-scale data systems.
- Master's degree in computer science or a related technical field and 12+ years of technical engineering experience is preferred.
- Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems.
- Hands-on experience with ETL orchestration frameworks such as Airflow or Dagster.
- Strong communication skills to explain complex systems clearly to senior leaders.
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 various sources into the Data Warehouse.
- Define and standardize core metrics and semantics related to utilization and capacity.
- Architect and maintain self-service dashboards and APIs for visibility at different organizational levels.
- Partner closely with stakeholders to ensure metrics reflect operational and business realities.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Lead data architecture and engineering decisions to shape executive-level discussions.
- Identify data gaps and drive fixes by influencing upstream engineering teams.
- Establish data quality, validation, documentation, and governance for trusted metrics.
Benefits
- Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.
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