
About Databricks
Empowering data teams with unified analytics
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...
Skills & Technologies
Overview
Databricks is seeking a Senior Engineering Manager for their Workspace Platform team to lead the development of unified infrastructure for critical customer-facing capabilities. You'll work with technologies like AWS, Apache Spark, and Python in San Francisco.
Job Description
Who you are
You have over 5 years of experience in engineering management, guiding teams to deliver high-quality software solutions. Your leadership style fosters collaboration and innovation, enabling your team to thrive in a fast-paced environment. You possess a strong technical background, particularly in cloud infrastructure and data platforms, which allows you to effectively communicate with engineers and stakeholders alike. You are adept at defining technical strategies and roadmaps, ensuring alignment with business goals while driving execution.
Your expertise includes working with technologies such as AWS and Apache Spark, and you have a solid understanding of containerization with Docker and orchestration using Kubernetes. You are passionate about building scalable systems and have experience in managing large engineering teams, mentoring engineers, and facilitating their professional growth. You understand the importance of creating a positive team culture and are committed to fostering an inclusive environment.
Desirable
Experience with AI and machine learning workloads is a plus, as is familiarity with collaborative tools similar to GitHub and Google Drive. You are comfortable navigating complex technical challenges and can translate them into actionable plans for your team. Your ability to think strategically while maintaining a hands-on approach to engineering makes you an ideal candidate for this role.
What you'll do
As the Senior Engineering Manager for the Workspace Platform at Databricks, you will lead a team of approximately 20 engineers in developing a unified infrastructure that powers essential capabilities across multiple products. You will define and drive the technical strategy for the Workspace Platform, focusing on building shared capabilities that enhance the overall Databricks experience. Your role will involve owning the roadmap, execution, and delivery of platform features, ensuring that all team deliverables meet the highest standards of quality and performance.
You will collaborate closely with product management, design, and other engineering teams to create intuitive workspace experiences that drive user adoption and satisfaction. Your leadership will be crucial in guiding your team through the development process, from ideation to deployment, while maintaining a focus on scalability and reliability. You will also be responsible for fostering a culture of continuous improvement, encouraging your team to innovate and experiment with new technologies and methodologies.
What we offer
At Databricks, you will be part of a mission-driven company that is transforming how organizations leverage data and AI. We offer a competitive salary and benefits package, along with opportunities for professional development and growth. You will work in a collaborative environment that values diversity and inclusion, where your contributions will have a direct impact on the success of our customers and the future of our platform. Join us in building the next generation of data and AI infrastructure that empowers teams to solve the world's toughest problems.
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