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

Staff Engineer β’ Senior
Databricks β’ ZΓΌrich
Skills & Technologies
Overview
Databricks is hiring a Senior Staff Software Engineer to design and maintain robust backend systems for their Delta Lake platform. You'll work with technologies like Java and Apache Spark to enhance performance at scale. This role requires significant experience in backend engineering.
Job Description
Who you are
You have extensive experience in backend engineering, particularly in designing and maintaining large-scale systems. Your expertise in Java and Apache Spark allows you to build high-performance applications that handle massive data workloads efficiently. You understand the complexities of cloud infrastructure and are adept at troubleshooting issues that arise in distributed systems.
You are a collaborative team player who enjoys working with cross-functional teams to deliver impactful solutions. Your strong problem-solving skills enable you to tackle challenging engineering problems, and you have a passion for contributing to open-source projects, particularly in the data and AI space.
What you'll do
As a Senior Staff Software Engineer at Databricks, you will be responsible for designing and developing the core write-path operations for Delta Lake. You will ensure that the backend systems are robust and scalable, capable of processing exabytes of data daily. Your role will involve driving performance innovations and collaborating with other engineers to enhance the user experience.
You will also contribute to the open-source community, helping to unify Delta and Iceberg formats. Your work will directly impact the performance and reliability of Databricks' data infrastructure, enabling data teams to solve critical problems across various industries.
What we offer
At Databricks, you will be part of a mission-driven team that is dedicated to building the best data and AI infrastructure platform. We offer competitive compensation and a collaborative work environment where your contributions will be valued. Join us in our quest to empower data teams and make a significant impact in the world of data and AI.
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