Engineering Manager - Platform

Key Skills

Java Programming, Python Programming, Azure, AWS, Data science techniques, Google Cloud Platform (GCP), AI technology

Job Description

If you are looking for an unparalleled opportunity to build the next generation big data processing platform, and learn how to launch hundreds of thousands of VMs a day at scale while running thousands of Kubernetes clusters, you have come to the right place. The platform team builds and manages the core systems powering Databricks, allowing it to seamlessly scale and run across various geographic regions/clouds, and making Databricks the go-to product for big data processing in the cloud.

As an Engineering Manager at Databricks, you will be responsible for all engineering activity by your team. You will be responsible for delivery of products and features shipped by your team. You will collaborate with brilliant engineers and customers to help ensure that we continue to build world class products with new and improved features.

You will work with engineering and product leadership to craft the long-term roadmap and quarterly deliverables for areas that your team works on, ensuring that our products continue to stand out in a growing multi-billion dollar market.

You will be responsible for tactical execution by the team, helping to coordinate activities such as sprint planning, design reviews, and project planning. In addition, you will be responsible for hiring and grooming world-class talent for your team. You will work with engineering leadership to establish hiring targets and priorities for the team and help find and recruit talent for these positions. You will mentor engineers and help them grow along their career paths, identifying and grooming talent for technical leadership roles. You will be responsible for helping engineers set goals for individual growth and for performance management, including coordinating reviews and delivering performance feedback to engineers.

The impact you will have:

• Hiring. Recruit and hire strong engineers in a competitive hiring climate.
• Technical leadership. Own the technical output of the databricks product team. Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). Review and drive long term technical direction of the Databricks product.
• Management. Directly manage both engineers and engineering managers. Provide feedback and guide promotions and leveling process.
• Planning. Work to scope and plan key deliverables. Work with engineering managers and IC's to ensure project planning of key initiatives.
• Cross-functional execution. Coordinate within the organization alongside PM, marketing, support and sales to ensure delivery of key initiatives. Influence product strategy alongside the PM team.

What we look for:

• Great at hiring and developing high caliber talent, especially leadership
• Great at devising efficient processes that increase velocity and quality
• Managed teams that build and operate high volume distributed systems in a SaaS environment
• Solid understanding of distributed systems and building services on top of containers
• Has experience scaling engineering orgs from 5 to 30+
• Team player that will work with other departments (PM, Sales, CS)
• BS/MS/PhD in Computer Science, or a related field