Engineering Manager - Streaming

Навыки

• Big Data
• Data Lake
• Распределённые системы
• Оптимизация запросов
• Роадмап

О компании и продукте

• 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 use deep data insights to improve their business.
• We are the “Spark™ Structured Streaming” team responsible for building Stream Processing capabilities into Spark™ and Databricks Intelligence Platform. Stream processing is in its infancy and we are here to build not just state of the art Stream Processing technology but best in class managed offering for customers to run their Stream Processing workloads.

Требования

• 5+ years experience working in a related system, streaming, query processing, query optimization, including big-data ecosystem, Apache Spark™ or database internal
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Can ensure the team builds high quality and reliable infrastructure services
• Experience being responsible for testing, quality, and SLAs of a product
• Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards
• Can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members
• Can gain trust of the team and guide their careers
• Experience managing distributed teams preferred
• Comfortable working cross functionally with product management and directly with customers
• ability to deeply understand 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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