Senior Engineering Manager for Workspace Platform

The shape of it

In the posting’s own words

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.

What it asks for · 10

• 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.

What the job covers

• 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.

Tools and skills named

Words the posting leans on

• platform13×
• experience11×
• engineering7×
• building5×
• technical4×
• data3×
• distributed systems3×
• infrastructure3×
• management3×
• product3×
• scaling3×
• workspace platform3×
• akin google2×
• business2×
• capabilities2×
• code2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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