Sr. Staff Software Engineer - Managed Tables

Навыки

• Алгоритмы и структуры данных
• API (интеграции)
• Data Lake
• Отладка и поиск ошибок
• Распределённые системы
• Machine Learning
• Ответственность за результат

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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering

Задачи

• Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners
• Deliver a highly scalable, available, and inter-operable architecture for Managed Tables
• Low level systems debugging, performance measurement & optimization on large production clusters
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Introduce tools to allow greater automation and operability of services
• Use your deep experience to help prevent and investigate production issues
• Plan and lead complicated technical projects that work with several teams within the company
• Mentor and up-level engineers on the team
• As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box
• You will design and implement these next gen systems that leapfrog state-of-the-art
• Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization
• Efficient storage structures and innovations to power storage layout solutions for the ML world
• Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables

Требования

• 15+ years industry experience building and supporting large-scale distributed systems
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• Strong foundation in algorithms and data structures and their real-world use cases
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

Условия

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

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