Infrastructure Data & Analytics

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. 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 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.