At a Glance
- Tasks: Lead a team to build reliable, scalable services and tools for data management.
- Company: Join Databricks, a leader in data and AI infrastructure.
- Benefits: Comprehensive benefits, remote work options, and career development opportunities.
- Other info: Diverse and inclusive culture with global offices and excellent growth potential.
- Why this job: Make a real impact on cutting-edge projects that shape the future of data.
- Qualifications: 5+ years in engineering, 2+ years in management, and a degree in Computer Science.
The predicted salary is between 80000 - 100000 € per year.
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.
The Lakebase Platform Reliability team's footprint spans multiple stacks, systems, and stakeholders. They include AI‑powered tooling and workflows for customer management, real‑time observability during incidents, monitoring and auditing systems that underpin compliance requirements, and customer‑facing operational APIs and maintenance workflows.
You’ll contribute to the wider platform mission: building resource management infrastructure, reliable distributed services, and internal tools that help Databricks engineers operate confidently across clouds and environments.
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.
- Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud‑agnostic way.
- Lead development of 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.
What We Look For
- 5+ years of Engineering experience and 2+ years of Engineering Management experience.
- Experience with large‑scale distributed services and the processes around testing, monitoring, and SLAs.
- Ability to align multiple stakeholders on competing priorities.
- Able to balance short‑term delivery against long‑term stability.
- 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 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.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
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.
Engineering Manager - Platform Reliability employer: Databricks
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities for career development, all set against the vibrant backdrop of San Francisco. Join us in shaping the future of data and AI while enjoying a supportive environment that values diversity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Platform Reliability
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Databricks on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Databricks' products and culture. Show us that you’re not just another candidate; you’re genuinely excited about what we do and how you can contribute to our mission.
✨Tip Number 3
Practice your technical skills! Brush up on distributed systems and engineering management concepts. We want to see that you can tackle the challenges we face head-on, so be ready to discuss your past experiences and solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the Databricks team.
We think you need these skills to ace Engineering Manager - Platform Reliability
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your experience in managing distributed services and any relevant projects you've led.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building reliable platforms. Share specific examples of how you've supported engineers in their career development or improved technical standards in your previous roles.
Showcase Your Leadership Skills:We want to see how you’ve built and managed teams in the past. Include details about how you’ve coordinated cross-functional projects and aligned stakeholders on competing priorities.
Apply Through Our Website:For the best chance of success, make sure to apply through our official website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and methodologies mentioned in the job description. Brush up on large-scale distributed services, testing processes, and SLAs. Being able to discuss these topics confidently will show that you’re not just a manager but also a technical leader.
✨Showcase Your Leadership Style
Prepare to talk about your experience in hiring and developing engineers. Share specific examples of how you've supported team members in their career growth and how you’ve fostered a culture of engineering excellence. This will demonstrate your commitment to building a strong team.
✨Align with Company Values
Familiarise yourself with Databricks' mission and values, especially around diversity and inclusion. Be ready to discuss how you can contribute to fostering an inclusive culture and how you’ve done so in previous roles. This alignment can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to balance short-term delivery with long-term stability. Think of scenarios where you had to coordinate across teams or manage competing priorities, and be ready to share your thought process and outcomes.
