
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 hiring an Engineering Manager for their Networking team to lead the development of backend connectivity services. You'll work with technologies like Docker and Kubernetes in Bengaluru, India.
Job Description
Who you are
You have a strong background in engineering management with experience in networking and distributed systems — you've successfully led teams in building scalable backend services that enhance connectivity and performance. Your technical expertise includes working with cloud infrastructure and container orchestration tools, enabling you to guide your team through complex challenges.
You thrive in collaborative environments, working closely with cross-functional teams including product management and operations — your ability to communicate effectively ensures that everyone is aligned on project goals and timelines. You are passionate about mentoring engineers, helping them grow their skills while fostering a culture of innovation and accountability.
Your experience with cloud technologies and networking protocols allows you to make informed decisions that drive efficiency and scalability — you understand the nuances of multi-cloud environments and are adept at optimizing resource usage. You are committed to delivering robust solutions that meet the needs of data teams across various industries.
Desirable
Experience with large-scale systems and a deep understanding of cloud networking principles would be a plus — familiarity with tools like Docker and Kubernetes will help you lead your team effectively. A background in data infrastructure or AI platforms is also advantageous, as it aligns with Databricks' mission to empower data teams.
What you'll do
As an Engineering Manager at Databricks, you will lead a team focused on developing new backend connectivity services that power millions of virtual machines — your role will involve overseeing the design and implementation of systems that enhance the connectivity between our control and compute planes. You will ensure that these services are scalable and efficient, enabling Databricks to leverage cloud resources effectively.
You will collaborate with product management to define the roadmap for networking services, ensuring that your team's efforts align with the company's strategic goals — your leadership will be crucial in navigating the complexities of multi-cloud architectures and distributed systems. You will also be responsible for conducting regular performance reviews and providing constructive feedback to your team members, fostering their professional development.
In addition to technical leadership, you will play a key role in hiring and building a diverse team of engineers — your ability to identify talent and create an inclusive environment will be essential for the team's success. You will also engage with stakeholders across the organization to communicate progress and gather feedback, ensuring that your team's work meets the needs of the business.
What we offer
At Databricks, you will be part of a mission-driven company that is transforming how data teams work — we offer competitive compensation and benefits, including opportunities for professional growth and development. You will work in a collaborative environment that values innovation and encourages you to take ownership of your projects. Join us in building the future of data and AI infrastructure.
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