# Sr. Manager, Engineering

**Company**: Databricks
**Location**: Amsterdam
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8540678002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e1ccc391-bca

## Description

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.

As a Senior Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

Responsibilities:

- Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way

- Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers

- Build tools to allow Databricks engineers to operate their services across different clouds and environments

- Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

- 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.

Requirements:

- Great at hiring and developing talent, especially leadership

- Great at creating efficient processes that increase velocity and quality

- Managed teams that build and operate high-volume distributed systems in a SaaS environment

- Have experience scaling engineering teams from 5 to 30+

- Team player who will work with other departments

- BS or higher in Computer Science, or a related field

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 click here.

## Skills

### Required
- Cloud computing
- Distributed systems
- Machine learning
- Data engineering
- Leadership

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8540678002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)