Databricks
AI & Machine LearningDirect Greenhouse career site

Senior Engineering Manager for Workspace Platform

Pay
$217,000 – $312,200 per year
Location
San Francisco, CA · On-site
Job type
Full-time
Level
Director
Experience
15+ years
Listed
30 days ago

Skills & highlights for this role

  • distributed systems
  • cloud platforms (AWS, Azure, GCP)
  • containerization

Also useful

  • SaaS platform development
  • modern web application architecture

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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 Workspace Platform team is on an ambitious mission to scale our customer base 100x and support the future of agentic AI workloads. Our goal is to build a unified, consistent, and foundational Shared Platform for the entire Databricks Workspace experience.

As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization (akin to Google Drive), Collaborative code editing, and Repository management (akin to Github). This is a high-impact, exciting opportunity to guide a team of ~20 software engineers in creating platform features, intuitive workspace experiences, and partner integrations that are essential to Databricks' expansion and user adoption.

The impact you will have

  • Strategy & Vision: Define and drive the technical strategy for the Workspace Platform, including building over 16 shared capabilities that underpin the entire Databricks experience.
  • Execution Ownership: Own the roadmap, execution, and delivery for the platform, ensuring all team deliverables meet the highest standards of quality and timeliness.
  • Engineering Excellence: Establish and enforce team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations for high-volume distributed systems.
  • Cross-Functional Collaboration: Partner closely with teams across the organization, including those developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards, UC Platform) and core infrastructure, to ensure seamless integration and innovation.

What we look for

  • Experience: 15+ years of software engineering experience with a strong track record of technical leadership and impact.
  • Management: 5+ years of engineering management experience, including experience managing other managers.
  • Scaling: Proven experience scaling engineering teams from 10 to 30+ engineers.
  • Platform Expertise: Experience leading platform teams and backend developers in a SaaS environment.
  • Technical Depth:
  • Experience designing and building scalable distributed systems.
  • Familiarity with building services on top of containerization technologies.
  • Expertise in distributed systems, major cloud platforms (AWS, Azure, GCP), and modern web application architectures.
  • Collaboration: Strong ability to collaborate across product, engineering, and business teams to align technical strategy with core company growth objectives.
  • Passion: A passion for building and scaling robust, high-performance platforms.

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 $217,000—$312,200 USD

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

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 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.

Read the original posting

From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior Engineering Manager for Workspace Platform role at Databricks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

What is the salary for the Senior Engineering Manager for Workspace Platform role at Databricks?

The Senior Engineering Manager for Workspace Platform posting at Databricks states compensation of $217,000 – $312,200 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.

Where is the Senior Engineering Manager for Workspace Platform job at Databricks located?

This Senior Engineering Manager for Workspace Platform position at Databricks is located in San Francisco, CA (On-site). Always check Databricks's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Engineering Manager for Workspace Platform at Databricks?

For the Senior Engineering Manager for Workspace Platform role, Databricks highlights 15+ years of relevant experience; experience with distributed systems, cloud platforms (AWS, Azure, GCP), containerization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Engineering Manager for Workspace Platform position at Databricks?

This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.