Role at a glance
- Salary
- Not Disclosed
- Location
- Amsterdam, Netherlands
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- BS or higher in Computer Science, or a related field
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Role Summary
The Senior Engineering Manager will lead a team building infrastructure and products for the Databricks platform at scale. The work spans resource management for big data and machine learning workloads, cloud-based distributed services and client libraries, cross-cloud operations tooling, and systems at the intersection of machine learning and distributed systems.
What You'll Do
- Hire engineers and build an outstanding team.
- Support engineers in their career development through feedback and develop engineering leaders.
- Establish technical standards through architecture reviews, testing, and an engineering excellence culture.
- Work with engineering and product leadership to build a long-term roadmap.
- Coordinate execution and collaborate across teams to unblock cross-cutting projects.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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
Required
- Hiring and developing talent, especially leadership
- Creating efficient processes that increase velocity and quality
- Managing teams that build and operate high-volume distributed systems in a SaaS environment
- Scaling engineering teams from 5 to 30+
- Working with other departments
- BS or higher in Computer Science, or a related field
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-138
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. 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.
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.
- 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.
What we look for:
- 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
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.