Full-Time

Engineering Manager

UI 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

$182.4k - $247kAnnually

+ Annual Performance Bonus + Equity

Senior

Washington, USA

Local Pay Range $182,400—$247,000 USD.

Category
Engineering Management
Software Development Management
UI/UX & Design
Required Skills
React.js
Requirements
  • 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications
  • 2+ years leading and managing a high-performing engineering team.
  • A passion for infrastructure, tooling, developer productivity, or performance optimization and the ability to drive technical initiatives that improve overall team efficiency and code quality
  • Demonstrated ability to mentor, coach, and develop engineering talent at various levels
  • Ability to drive technical initiatives that improve overall team efficiency and code quality
  • Experience in setting and achieving ambitious team goals aligned with company objectives
  • Strong track record of attracting, hiring, and retaining top engineering talent
  • Experience managing distributed teams across multiple locations.
  • Adaptability and resilience in a fast-paced, rapidly evolving tech environment.
Responsibilities
  • You will lead a talented engineering team in UI Platform focused on one of the above initiatives.
  • You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
  • You will build processes to implement product vision and strategy, according to organizational goals and priorities.
  • You will build software that is not just high quality, but easy to operate.
  • You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

6%

1 year growth

35%

2 year growth

74%
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