Senior Engineering Manager for Workspace Platform
Skills & Technologies
Requirements
- Experience
- 15+ years
Joblaze summary
In the role of Senior Engineering Manager for the Workspace Platform at Databricks, the individual will oversee the development of a unified infrastructure that enhances customer-facing capabilities across various products. Key skills include extensive experience in software engineering, management of large teams, and expertise in scalable distributed systems and cloud platforms. This position is ideal for seasoned professionals with a strong background in platform development and a passion for driving technical strategy. The team is focused on ambitious growth, aiming to significantly expand the customer base and support advanced AI workloads.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 1250 active AWS roles on Joblaze right now.
- 848 active SaaS roles on Joblaze right now.
- 772 active GCP roles on Joblaze right now.
- Salary band is above the typical range for Management (median ~$180,000).
Quick facts
- What's the salary range?
- Databricks lists $217,000–$312,200 for this role.
- How much experience is required?
- At least 15 years of relevant experience for this Senior Engineering Manager for Workspace Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: containerization, AWS, Cloud, distributed systems, SaaS, GCP.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Engineering Manager for Workspace Platform role at Databricks.
From the original posting
RDQ225R488
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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.