Staff Software Engineer - Streaming

Навыки

• Big Data
• Data Lake
• Распределённые системы
• Роадмап
• Spark

О компании и продукте

• We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine — adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost.
• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can turn deep data insights into better business outcomes.

Задачи

• Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform
• Design and build core engine capabilities — state management, new operators, and architectural improvements to latency and throughput
• Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production
• Make company-wide impact by driving stream processing adoption across the Databricks product portfolio
• Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap
• Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent

Требования

• BS (or higher) in Computer Science or a related technical field, or equivalent practical experience
• 8+ years building related systems — big-data ecosystems, Apache Spark, or database internals
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Comfortable working toward a multi-year vision with incremental deliverables
• A track record of delivering features while maintaining a high bar for operational excellence and engineering quality
• Comfortable working cross-functionally with product management and directly with customers, with the ability to deeply understand the product and customer personas

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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