Engineering Manager - UI Platform

Posted 14 Hours Ago
Be an Early Applicant
Washington, DC
182K-247K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Engineering Manager for the UI Platform at Databricks will lead a team focused on accelerating frontend development and enhancing user experience. Responsibilities include managing technical debt, recruiting top engineering talent, mentoring team members, and ensuring product quality while driving key technical initiatives.
Summary Generated by Built In

P-1334

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

We are the “UI Platform” team responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node, webpack, and more!  

We're seeking a dedicated Engineering Leader who can spearhead one of two major initiatives in the UI Platform. The first initiative is enabling developers to go from idea to code in production in 24 hours. This encompasses the dev loop, monitoring for our production frontend, and everything needed to ensure smooth delivery of code to production. The second initiative is Single Pane of Glass, which is doing infrastructure and product work aimed at unifying various parts of Databricks into one easy-to-use experience. 

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

  • 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.

What we look for:

  • 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.


Local Pay Range

$182,400$247,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Top Skills

React
Typescript
The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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