Databricks

Senior Staff Software Engineer - Enzyme

Databricks
Apply
over 1 year ago
Mountain View, CA, USAStaff+
H1B Sponsor

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

Apache SparkDatabricksMLflow

Categories

BackendData Engineering
Databricks

About Databricks

5,001-10,000 employees

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Contact me