Sr. Engineering Manager - Notebook Dataplane
- Salary
- $190,900 - $253,750
- Level
- Lead
Not stated in the posting: work type, visa.
Open. First seen 3 October 2026.
About the role
RDQ426R230
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 tackle 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.
In this role, you will lead the Notebook Dataplane team, which is responsible for running user code in the Notebook. We are undergoing an exciting architecture transformation to run stateful user code as a service for the product teams, providing a reliable and low-latency service for the Serverless products and power agentic workloads. A strategic investment area for the company.
As the Sr. Engineering Manager, you will play a critical role in driving the technical vision, architecture, and execution for the service. You will lead a team of software engineers and recruit new team members to realize the vision.
The impact you will have:
- Define and drive the stateful user code execution service vision.
- Partner with serverless platform teams to build the service.
- Own the roadmap and execution, ensuring all team deliverables are met with high quality and on schedule.
- Define team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
- Collaborate cross-functionally with teams across the stack.
What we look for:
- 10+ years of software engineering experience, with a strong track record of technical leadership and impact.
- 5+ years of engineering management experience.
- Experience designing, building, and operating scalable SaaS platforms.
- Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.
- Strong system-level skills. Experience with containers and K8S is highly desirable.
- Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.
- Passion for the data intelligence space.
Why join us:
- Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
- Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
- Drive innovation in a fast-paced, data-driven environment where your work helps shape the future of Databricks.
If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$190,900—$253,750 USD
Databricks's standard text
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.
What this role asks for
Particular to this role
Kubernetes · Serverless
Rare in Databricks's other 299 open postings.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
74% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 44 open in Engineering. 1 was posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (44 of 44), Unity (44 of 44), Azure (20 of 44), AWS (16 of 44), GCP (15 of 44), Machine Learning (13 of 44), LLM (12 of 44)
OTHER ROLES ON THIS TEAM
- Sr. Manager, Engineering - AI/BI posted Oct 2
- Senior Software Engineer, Compute Infrastructure posted Sep 14
- Staff Software Engineer – Genie One Mobile & Desktop posted Sep 9
- Engineering Manager, App Traffic posted Sep 9
- Senior Engineering Manager for Self-Serve (Learning) posted Aug 21
- Engineering Manager, CustomerLake Profile Agents posted Aug 13
- Staff Software Engineer- Foundation Model Inference posted Jul 24
- Sr Software Engineer- CXI posted Jul 15
- Senior Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, Agentic Applications posted Jul 15
- Staff Machine Learning Engineer, CustomerLake (ML/LLM) posted Jun 30
- Engineering Manager, Serverless Compute Platform posted Jun 22
- Staff Software Engineer, AI Runtime posted Jun 8
- Senior Software Engineer, AI Runtime posted Jun 8
- Staff Software Engineer, AI Search posted Jun 4
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Manager, Engineering Configuration Platform Team posted May 28
- Senior Staff Applied AI Engineer - Context Retrieval posted May 7
- Sr Staff Production Engineer- Public Sector posted Apr 22
- Staff Production Engineer- Public Sector posted Apr 22
- Staff Software Engineer- Public Sector posted Apr 21
- Sr. Engineering Manager - Agentic Service Platform posted Apr 20
- Staff Backend Software Engineer- (Databricks AI) posted Mar 31
- Engineering Manager - Databricks SQL Control Plane posted Mar 20
- Staff Backend Software Engineer posted Mar 18
- Sr. Engineering Manager - Customer Experience Intelligence (CXI) posted Feb 25
- Staff Software Engineer - Backend posted Jan 29
- Sr. Software Engineer- Backend posted Jan 16
- Sr. Staff Software Engineer - Money Team posted Nov 12
- Senior Software Engineer, Model Serving posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Manager, Engineering - AI/BI posted Sep 19
- Senior Engineering Manager for Workspace Platform posted Jun 12
- Sr. Manager, Engineering - Search posted Apr 15
- Senior Software Engineer - Partner Ecosystem posted Apr 3
- Senior Staff Software Engineer - App and Partner Ecosystem posted Mar 19
- Sr Designated Support Engineer posted Jan 30
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Software Engineer - Backend posted Jun 1
From the team and dates on Databricks's own job board.
See Engineering Manager salaries in San Francisco →
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