.png)
RDQ125R165
At Databricks, we are passionate about helping data teams 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
If you are looking for an unparalleled opportunity to build the next generation data processing platform, serving modern data engineering and AI use cases over millions of VMs launched daily, and learn how to do this at scale with reliability, efficiency, and excellent customer experience – you have come to the right place. The platform team builds and manages the core systems powering Databricks, allowing it to seamlessly scale and run across various geographic regions/clouds, and making Databricks the go-to product for big data processing in the cloud.
As an Engineering Manager on the Platform team at Databricks, you will lead your team to build an available, scalable and reliable platform that is necessary to the business. You will be responsible for delivery of products and features shipped by your team. You will work with engineers and customers to help ensure that we continue to build excellent products with new and improved features.
We manage some of the largest scale software systems on the planet. The teams lead the Cloud revolution, building scalable multi cloud infrastructure and distributed systems to launch millions of virtual machines a day, generating terabytes of logs and processing exabytes of data every day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. You will report to the Director of Engineering.
The impact you will have:
- Hire great engineers to build an outstanding team
- Support engineers in their career development by providing clear feedback and developing 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
- Grow a site from the ground up
What we look for:
- Experience hiring and developing talent, especially leadership
- Experience at creating efficient processes that increase velocity and quality
- Managed teams that build and operate high-volume distributed systems in a SaaS environment
- 5+ years of experience with distributed systems and building services on top of containers
- Have experience scaling engineering teams from ~5 to 30+
- Ability to work cross-functionally with other departments (PM, Sales, CS)
- BS or higher in Computer Science, or a related field
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
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.
