Director of Engineering

At Databricks, we are enabling data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. As a Director of Engineering, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting, and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.

The impact you will have:

• Solve real business needs at a large scale by applying your software engineering skills
• Ensure consistent delivery against milestones and strong alignment with the field working 'two-in-a-box' with product leadership
• Evolve organisational structure to align with long-term initiatives, build strong '5 ingredient' teams with good comms architecture
• Manage technical debt, including long-term technical architecture decisions and balance product roadmap
• Leading and participating in technical, product, and design discussions
• Building, managing, and operating a highly scalable service in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities
• Partnering with other engineering and product leaders on planning, prioritisation, and staffing
• Creating a culture of excellence on the team while leading with empathy

What we look for:

• 15+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms

*or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g. technical background and fast learner)

• Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas
• BS in Computer Science or Masters or PhD