
Empowering data teams with unified analytics
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...
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks • Remote - Arizona; Remote - California; Remote - Canada; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - Michigan; Remote - New York; Remote - Texas; Remote - Washington
Databricks is hiring a Senior Engineering Manager to lead the Performance Engineering team in evaluating product performance and scalability. You'll collaborate with various engineering teams to identify and resolve performance bottlenecks. This role requires strong leadership and technical skills in performance engineering.
You have a proven track record of leading engineering teams, with a focus on performance and scalability. Your experience includes identifying performance limitations and guiding teams to develop effective solutions. You are skilled in building partnerships across engineering organizations and have a strong understanding of performance benchmarks and competitive analysis. You are committed to fostering a collaborative team environment and recruiting top-tier talent to drive success.
You possess excellent communication skills, enabling you to articulate complex technical concepts to both technical and non-technical stakeholders. You are adept at using telemetry and customer signals to inform performance improvements and have a strategic mindset that prioritizes delivering the best performing systems in the industry. You thrive in a fast-paced environment and are passionate about driving impactful projects that enhance product performance.
Experience with data and AI infrastructure platforms is a plus, as is familiarity with performance engineering tools and methodologies. A background in software development and a deep understanding of system architecture will help you excel in this role. You are open to continuous learning and adapting to new technologies and practices that can enhance team performance.
As the Senior Engineering Manager, you will lead the Performance Engineering team in evaluating the performance of Databricks products. You will set performance targets for software releases and guide teams in developing performance benchmarks. Your role involves conducting competitive benchmark analysis and performing deep dive analyses to identify and resolve performance issues. You will collaborate closely with engineering teams to drive performance and scalability projects, ensuring that Databricks delivers the fastest and most cost-effective solutions in the market.
You will oversee the recruitment and development of top-tier talent, fostering a well-organized and synergistic team structure. Your leadership will be crucial in building partnerships with various engineering organizations, driving initiatives that enhance product performance and scalability. You will be responsible for mentoring team members and promoting a culture of continuous improvement and innovation within the team.
At Databricks, you will be part of a mission-driven company that is transforming the way data teams solve complex problems. We offer a collaborative work environment where your contributions will have a direct impact on our customers' success. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to building the world's best data and AI infrastructure platform. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
Apply now or save it for later. Get alerts for similar jobs at Databricks.