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 • Bellevue, Washington
Databricks is hiring a Principal Engineer for Compute Fleet Management to optimize cloud resources and enhance compute efficiency. You'll work with AWS, Azure, and GCP to ensure robust infrastructure. This role requires extensive experience in cloud computing and system architecture.
You have a strong background in cloud computing and infrastructure management, with at least 8 years of experience in engineering roles focused on optimizing compute resources across multiple cloud platforms. Your expertise in AWS, Azure, and GCP allows you to design and implement solutions that enhance performance and efficiency. You are skilled in building resilient systems that can scale horizontally and withstand failures, ensuring high availability for users.
You possess a deep understanding of fleet management and resource optimization, having previously led initiatives that significantly improved operational efficiency and reduced costs. Your analytical mindset enables you to identify bottlenecks and implement effective solutions that drive performance improvements. You are also adept at collaborating with cross-functional teams, ensuring that technical solutions align with business objectives.
Your leadership experience includes mentoring junior engineers and guiding teams through complex projects. You thrive in environments where you can influence technical direction and contribute to strategic decision-making. You are passionate about leveraging technology to solve real-world problems and are committed to continuous learning and improvement.
Experience with container orchestration tools like Kubernetes or Docker is a plus, as is familiarity with CI/CD practices. You may also have a background in data engineering or machine learning, which would enhance your ability to contribute to Databricks' mission of enabling data teams.
As the Principal Engineer for Compute Fleet Management at Databricks, you will lead the charge in optimizing how the company consumes and manages compute resources across AWS, Azure, and GCP. Your role will involve defining and implementing strategies for fleet optimization, ensuring that Databricks can efficiently provision and pool billions of cloud resources to achieve peak performance.
You will be responsible for designing architectures that guarantee resilience and scalability, allowing Databricks to maintain high availability even during cloud account-level failures. Your work will directly impact the company's gross margin and customer experience, making it a mission-critical position.
In this role, you will collaborate closely with product teams to understand their compute needs and translate those into actionable engineering solutions. You will also work with operations teams to monitor performance and implement improvements based on real-time data and analytics.
Your leadership will be essential in fostering a culture of innovation and excellence within the Compute Infra Team. You will mentor and guide engineers, helping them develop their skills and advance their careers while ensuring that the team meets its objectives.
At Databricks, you will be part of a dynamic team that is at the forefront of data and AI infrastructure. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on impactful projects that shape the future of cloud computing and data analytics. Join us in our mission to empower data teams to solve the world's toughest problems.
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