Juan Grande
Senior Staff Software Engineer at Databricks
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJuan Grande is a Senior Staff Software Engineer with about 15 years of experience designing and delivering highly scalable, reliable distributed systems, currently driving platform work at Databricks. At LinkedIn he rebuilt core search infrastructure, helped pioneer a greenfield Azure platform for secure exploratory access to the economic graph, and contributed to bringing a distributed SQL solution into production. He combines deep backend engineering (Java, search/analyzers, distributed databases) with hands-on tech leadership, growing high-performance teams and owning end-to-end delivery. His open-source work includes contributions to a real-time distributed searchable database (Sensei) focused on Lucene analyzer improvements and tokenizer fixes, reflecting an attention to text-analysis details that often hides behind system-level projects. Based in San Jose, he blends academic roots in complex flows with practical enterprise-scale system design, making him comfortable navigating both research-adjacent problems and large production operations. Colleagues rely on him to translate complex requirements into maintainable, performant architectures.
15 years of coding experience
13 years of employment as a software developer
Software Engineering, Software Engineering at University of Buenos Aires
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
lucene10
regular-expression10
javas10
java10
text-analysis10
amazon-elasticsearch9
elasticsearch-api9
aws-elasticsearch9
elasticsearchquery9
plugin-development9
elasticsearch9
distributed-database8
Programming languages (5)
Github contributions (5)
LinkedInAttic/sensei
Dec 2012 - Dec 2012
distributed realtime searchable database
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits in 1 day
Contributions summary:Juan primarily focused on developing and refactoring analyzer plugins for a distributed, real-time searchable database. Their work involved implementing and modifying Java classes related to text analysis, specifically creating factories for different Lucene analyzers. Key contributions include adding new analyzer types, fixing regular expressions used in tokenization, and improving Javadoc comments for the analyzer configurations. The user also updated the default analyzer used in one of the factories.
realtimedatabasesearchabledistributed
jgrande/quickpass
Jun 2014 - Oct 2016
Contributions:3 releases, 26 commits, 7 pushes in 2 years 4 months
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