Backend Engineer

• Own complex business problems end-to-end: define what needs to be solved, design the approach, and deliver scalable solutions
• Shape the analytics and data platform strategy for key Cloud Storage outcomes, set technical direction, and build AI/ML-powered capabilities
• Architect durable data foundations (Snowflake + dbt), elevating data quality standards
• Transform signals from customer lifecycle, product telemetry, GTM, and finance into actionable insights and measurable business results
• Develop a deep understanding of Cloud Storage metrics, processes, funnels, and customer lifecycles
• Define problem statements and OKRs/KPIs; align roadmaps with BU priorities and partner teams
• Design and lead implementation of error-free ELT/ETL pipelines into the data lake/warehouse
• Establish gold-standard data models and contracts for product telemetry, billing, and GTM datasets
• Analyze large, complex datasets to diagnose root causes, opportunities, and risk
• Build and maintain executive-grade dashboards and self-serve semantic layers
• Leverage modern AI/ML to automate insights and power new capabilities
• Design and enforce robust data quality checks and steward data governance
• Serve as tech lead for cross-functional analytics initiatives; mentor IC3–IC4 engineers

Senior Software Data Engineer – SQL, Python

Platform Architect