Databricks

Senior Staff Software Engineer - Delta

Databricks
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11 months ago
Remote, DenmarkStaff+

Responsibilities

  • Design, develop, and maintain robust backend systems for Databricks workspaces and Delta Lake write-path operations.
  • Build high-QPS, low-latency, reliable, and performant services that can support future growth.
  • Debug low-level systems, measure and optimize performance, and investigate production issues on large clusters.
  • Design architectures, influence the product roadmap, and own new projects from initiation through delivery.
  • Introduce automation and operability tools for services.
  • Plan and lead complex technical projects involving multiple internal teams.
  • Mentor engineers, lead sprint planning, delegate assignments, and improve coding practices and system designs.

Requirements

  • 15+ years of industry experience building and supporting large-scale distributed systems.
  • Strong foundation in algorithms and data structures, including real-world applications.
  • BS, MS, or PhD in Computer Science or a related major, or equivalent experience.
  • Ability to work toward a multi-year technical vision through incremental deliverables.
  • Experience driving company initiatives toward customer satisfaction.
  • Motivation to deliver customer value and measurable impact.

Benefits

  • Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal.

Tech Stack

Apache SparkDatabricksMLflow

Categories

BackendData Engineering
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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