Staff Software Engineer, Data Warehouse Foundation
Core
Design and manage foundational data warehouses and agentic analytical tools to power data-driven decision-making and analytics at massive scale.
Role type
Staff Software Engineer (Data Warehouse & Agentic Analytics)
Builds
Enterprise data warehouse architecture, storage systems, access patterns, and AI-augmented data pipeline authoring tools.
Domain
Big Data Infrastructure / Data Engineering / AI for Productivity
Deliverable
production ML models | infrastructure
Required skills
Large-scale data warehouse architecture, distributed data processing (Spark, Trino, Flink), data orchestration (Airflow), data cataloging (DataHub, Superset), AI coding tools integration, agentic analytics design, cross-functional technical leadership, complex system trade-off analysis.
Preferred skills
Experience building AI tools to accelerate data engineering productivity, experience with Exadata-scale infrastructure.
Technologies
Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, Cursor, Claude Code, Codex
Responsibilities
Define and design data warehouse architecture, storage, and access patterns; lead ambiguous cross-functional initiatives in data warehouse and agentic analytics; mentor engineers on technical design and execution; collaborate with Product, Data Science, and Engineering teams.
Seniority
Staff, technical leadership & hands-on IC