Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks

Engineering Manager Lead

DatabricksBellevue - On-Site

Posted 1d ago🏛️ On-SiteLeadEngineering Manager📍 Bellevue💰 $181,000 - $241,000 / yearly
Apply Now →

Skills & Technologies

Overview

Databricks is seeking an Engineering Manager for their Streaming team to lead the development of Spark™ Structured Streaming. You'll work on advanced stream processing features and oversee a talented engineering team. This role requires strong leadership and technical skills in stream processing technologies.

Job Description

Who you are

You have a proven track record of leading engineering teams, with a focus on developing innovative technologies — your experience includes building and managing high-performance teams that deliver impactful solutions. You possess deep technical knowledge in stream processing and data infrastructure, enabling you to guide your team effectively in developing state-of-the-art solutions. You are skilled in recruitment and talent development, ensuring your team is equipped with the necessary skills to excel in their roles. You understand the importance of implementing robust processes to align product vision with execution, fostering a culture of efficiency and collaboration.

Desirable

Experience with open-source contributions and a passion for community engagement in the tech space would be a significant plus. Familiarity with advanced features in stream processing, such as state management and performance optimization, will set you apart. You thrive in environments that challenge your technical expertise and leadership capabilities, and you are eager to drive innovation in the field of data and AI infrastructure.

What you'll do

As the Engineering Manager for the Spark™ Structured Streaming team, you will lead the development of cutting-edge stream processing capabilities — your primary mission will be to enhance the Spark™ Structured Streaming engine, focusing on advanced features and performance improvements. You will oversee the recruitment and development of top-tier engineering talent, ensuring your team is well-equipped to tackle complex challenges. You will implement efficient processes that align with the product vision and strategy, driving the team towards successful execution of initiatives. Your role will involve collaborating with cross-functional teams to promote the engine in both open-source and Databricks-specific contexts, ensuring that the solutions developed meet the highest standards of quality and performance.

What we offer

At Databricks, you will be part of a dynamic team that is at the forefront of data and AI technology — we offer a collaborative work environment where innovation is encouraged, and your contributions will have a direct impact on our customers' success. You will have access to professional development opportunities, allowing you to grow your skills and advance your career. We believe in fostering a culture of inclusivity and support, ensuring that every team member feels valued and empowered to succeed. Join us in our mission to build the world's best data and AI infrastructure platform.

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