Full-Time
Engineering Manager
Unified, open platform for enterprise data
Senior
Mountain View, CA, USA
- Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product. Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
- Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can uplevel existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of team and guide their careers. Experience managing distributed teams preferred
- Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner)
- Comfort working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas
- Deliver a high quality compute fabric and platform abstractions for resource, access control and environment management
- Ensure high SLAs across owned services (at least 4 9's, low/no regressions)
- Grow a world class team of software engineers working on our compute fabric. Increase headcount by 10+ engineers in next 18 months, with continued growth beyond that according to product objectives. Hire top-notch staff+ level talent
- Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
- Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
- Manage technical debt, including long term technical architecture decisions and balance product roadmap
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Company Stage
Series I
Total Funding
$4.2B
Headquarters
San Francisco, California
Founded
2013
6 month growth
↑ 12%1 year growth
↑ 46%2 year growth
↑ 126%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