Databricks

Sr. Staff Software Engineer - Unity Catalog Data Governance

Databricks
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over 1 year ago
Bellevue, WA, USAStaff+
H1B sponsor

Base Salary

$217k - $312k/yr

Responsibilities

  • Lead the design and delivery of high-impact Unity Catalog governance projects.
  • Set standards for security, usability, performance, scalability, software quality, and operational excellence.
  • Own the Unity Catalog Governance product from concept through robust, scalable implementation.
  • Drive the roadmap and execution of features that govern access to Lakehouse assets at scale.
  • Collaborate with product and infrastructure teams to align technical strategy and execution.
  • Mentor senior engineers and improve development and operational practices across the organization.
  • Champion reliable, easy-to-operate software and processes that deliver a seamless customer experience.

Requirements

  • 15+ years of industry experience building and operating large-scale distributed systems.
  • Proven track record of driving customer-focused initiatives with incremental delivery.
  • Deep computer science expertise in algorithms and data structures, with real-world application.
  • Strong leadership, communication, and cross-functional collaboration skills.
  • Bachelor’s degree in computer science or a related field; a master’s or PhD is preferred.
  • Preferred experience in data governance, security, privacy, identity management, authentication, or access control.

Benefits

  • Comprehensive benefits and perks, with details varying by region.
  • Opportunities for professional growth.
  • Competitive compensation, including potential annual performance bonus and equity.
  • Collaborative, high-impact environment with world-class engineers and thought leaders.

Tech Stack

Apache SparkDatabricksMLflow

Categories

Databricks

About Databricks

10,000+ employees

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.

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