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

• 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.

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