Engineering Manager - Streaming - Databricks

P-931

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. 

We are “Spark Structured Streaming” team responsible for building Stream Processing capabilities into Spark and Databricks Intelligence Platform. Stream processing is in its infancy and we are here to build not just state-of-the-art Stream Processing technology, but best in class managed offering for customers to run their Stream Processing workloads. 

We're seeking a dedicated Engineering Leader to spearhead Spark Structured Streaming development initiatives, encompassing both open source and Databricks-specific components. Your primary mission will be to make Spark Structured Streaming state-of-the-art Stream Processing engine, by adding advanced features such as sophisticated state management, new operators and at the same time making the engine performance both from latency and throughput point of view by reimagining engine architecture. 

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

• You will lead a talented engineering team in Spark Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform.
• You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
• You will build processes to implement product vision and strategy, according to organizational goals and priorities.
• You will build software that is not just high quality but easy to operate. 

• You will make a company wide impact by guiding Stream Processing adoption across the Databricks product portfolio.
• You will manage technical debt, including long term technical architecture decisions and balance product roadmap.

What we look for:

• 5+ years experience working in a related system, including big-data ecosystem, Apache Spark or database internal
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
• Expertise attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Can up level the existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Experience managing distributed teams.
• Experience working with product management, and directly with customers; ability to understand customer needs.