Staff Software Engineer - Distributed Data Systems
Databricks
Job Overview
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Job Description
Staff Software Engineer - Distributed Data Systems at Databricks
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this, we are building on top of a great foundation, but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use, and most secure data platform for all their data workloads.
As a Staff Software Engineer - Distributed Data Systems, you will join as a founding member of not only the Belgrade site but also as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).
The Responsibilities You Will Have
- Drive requirements clarity and design decisions for ambiguous problems.
- Produce technical design documents and project plans.
- Develop new features.
- Mentor more junior engineers.
- Test and rollout to production, monitoring.
What We Look For
- BS in Computer Science or equivalent practical experience in databases or distributed systems.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value and impact.
- 8+ years of production level experience in either Java, Scala, or C++.
- Solid foundation in algorithms and data structures and their real-world use cases.
- Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Key skills/competency
- Distributed Systems
- Databases
- Apache Spark
- Hadoop
- Java
- Scala
- C++
- Algorithms
- Data Structures
- System Design
How to Get Hired at Databricks
- Research Databricks's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in distributed systems, databases, and big data technologies like Apache Spark and Hadoop.
- Showcase technical depth: Prepare to discuss complex algorithms, data structures, and system design principles with real-world examples.
- Demonstrate problem-solving: Be ready to share instances where you drove design decisions and solved ambiguous technical challenges.
- Align with the Lakehouse vision: Express enthusiasm for Databricks's Data Intelligence Platform and its multi-year strategic goals.
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