Engineering Manager - Distributed Data Systems

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Databricks, we are passionate about helping data teams 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.

Founded by engineers and customer obsessed, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

As an Engineering Manager, you will join as a founding member of the not only the Berlin site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will work with other leaders to establish the direction of the product and bring to life new features.

The responsibilities you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap and vision
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.
• Participate in developing the Berlin site

What we look for:

• Experience with distributed data systems and the processes around testing, monitoring, and benchmarking
• Partner with PM, Sales, and Customers to develop new features.
• BS (or higher) in Computer Science, or a related field.
• 5 years of Engineering experience and 2 years of Engineering Management experience.

Benefits

• Employer contributions to public or private health plan
• Equity awards
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance
• Paid Parental Leave
• Mental wellness resources