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Full-Time

Engineering Manager

Platform

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$222k - $300kAnnually

+ Annual Performance Bonus + Equity

Senior

Mountain View, CA, USA

Category
Engineering Management
Software Development Management
Required Skills
Product Management
Requirements
  • Great at hiring and developing high caliber talent, especially leadership
  • Great at devising efficient processes that increase velocity and quality
  • Managed teams that build and operate high volume distributed systems in a SaaS environment
  • Solid understanding of distributed systems and building services on top of containers
  • Has experience scaling engineering orgs from 5 to 30+
  • Team player that will work with other departments (PM, Sales, CS)
  • BS or higher in Computer Science, or a related field
Responsibilities
  • Hire great engineers to build an outstanding team.
  • Support engineers in their career development by providing clear feedback and develop engineering leaders.
  • Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
  • Work with engineering and product leadership to build a long-term roadmap.
  • Coordinate execution and collaborate across teams to unblock cross-cutting projects.

Databricks provides a unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform is designed for a variety of users, including data engineers, data scientists, and business analysts, and is applicable across multiple industries such as finance, healthcare, and technology. Databricks offers features like automated ETL processes, secure data sharing, and high-performance analytics, which help streamline data management and analysis. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data for better decision-making and insights.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

25%

2 year growth

80%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave