Senior Staff Software Engineer - Enzyme
Databricksover 1 year ago
Base Salary
$235k - $295k/yr
Responsibilities
- Lead the Materialized Views engineering team and build next-generation features for ETL workloads and query acceleration.
- Design and implement incrementally maintained materialized views, query optimization, resource management, efficient storage structures, and automatic physical data optimization.
- Deliver highly scalable, available, and fault-tolerant architecture for materialized views.
- Perform low-level systems debugging, performance measurement, and optimization on large production clusters.
- Design architecture, influence the product roadmap, and own new projects.
- Introduce tools that improve service automation and operability.
- Help prevent and investigate production issues using deep technical experience.
- Plan and lead complex technical projects involving multiple teams.
Requirements
- 15+ years of industry experience building and supporting large-scale distributed systems.
- Passion for database systems, storage systems, distributed systems, language design, or performance optimization.
- Experience working toward a multi-year vision with incremental deliverables.
- Strong foundation in algorithms and data structures and their real-world applications.
- Experience driving company initiatives toward customer satisfaction.
- BS, MS, or PhD in Computer Science or a related major, or equivalent experience.
- Motivation to deliver customer value and impact.
Benefits
- Comprehensive employee benefits and perks are offered; region-specific details are available through Databricks' benefits portal.
- The role is located in Mountain View, California.
Tech Stack
Categories
BackendData Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.