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Experience Level
Mid to Senior
Qualifications
The responsibilities you will have:
Clarify requirements and drive design decisions for complex problems.
Create detailed technical design documents and project plans.
Develop and implement new features.
Mentor junior engineers.
Test and deploy to production, with ongoing monitoring.
What we look for:
Bachelor's Degree in Computer Science or equivalent experience in databases or distributed systems.
Comfortable working towards a long-term vision with incremental milestones.
Driven by delivering impactful customer value.
8+ years of hands-on experience in Java, Scala, or C++ at a production level.
Strong understanding of algorithms and data structures and their practical applications.
Experience with distributed systems, databases, and big data frameworks (Apache Spark™, Hadoop).
About the job
P-1416
At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems — from transforming transportation to accelerating medical innovations. Our mission is realized through the creation and management of the world's leading data and AI infrastructure platform, enabling our clients to harness deep data insights for enhanced business performance.
Founded by engineers, Databricks has embarked on a multi-year journey to develop the premier Data Intelligence Platform. We are enhancing a strong foundation to create significantly improved products. From the Storage Engine (data layout, encryption, caching, etc.) to the Query Engine (Vectorization, Query Optimization, etc.), we aim to reimagine every component to deliver the fastest, most user-friendly, and secure data platform for all workloads.
As a software engineer, you will be a pivotal member of the Belgrade site, contributing to the foundational team dedicated to realizing our Lakehouse vision. You will engage in the complete development cycle and embody all core Databricks values (ownership, data-driven, teamwork, customer-centric).
About Databricks
Databricks is the leading data and AI platform, trusted by over 10,000 organizations globally, including Comcast, Condé Nast, Grammarly, and more than half of the Fortune 500. Our platform unifies and democratizes data, analytics, and AI, enabling businesses to derive value from their data. Headquartered in San Francisco, Databricks was founded by the original creators of Lakehouse and Apache Spark™, driving innovation in the data landscape.
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Join Databricks as we embark on a transformative journey to revolutionize the data lifecycle, from ingestion through ETL, BI, and into the realms of ML/AI, all within a unified platform. Our vision is to transition from traditional data warehouse architectures to the innovative Lakehouse paradigm, as detailed in the CIDR 2021 paper. This new architecture addresses critical challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.At Databricks, we are developing the next generation of decoupled query engines and structured storage systems designed to surpass specialized data warehouses in relational query performance. Our goal is to maintain the expressiveness and robustness of general-purpose systems, like Apache Spark™, to accommodate diverse workloads, ranging from ETL to advanced data science applications. You will play an essential role in this multi-year endeavor.As a valued member of our team, you will be tasked with designing cutting-edge systems that leapfrog current state-of-the-art technologies in the following areas:Query compilation and optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimization
P-1414 At Databricks, our mission is to revolutionize the entire data lifecycle—from ingestion to ETL, BI, and extending into ML/AI—through a unified platform. We envision a future where the traditional data warehouse architecture is transformed into a modern architectural paradigm known as Lakehouse (CIDR 2021 paper). This open platform harmonizes data warehousing with advanced analytics, addressing key challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To realize this vision, Databricks is developing a cutting-edge (decoupled) query engine and structured storage system that aims to surpass specialized data warehouses in relational query performance while preserving the flexibility and robustness characteristic of general-purpose systems like Apache Spark™. Your contributions will be vital to this multi-year initiative. As a member of our team, you will design next-generation systems that set new benchmarks in the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization
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P-1416 At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems — from transforming transportation to accelerating medical innovations. Our mission is realized through the creation and management of the world's leading data and AI infrastructure platform, enabling our clients to harness deep data insights for enhanced business performance. Founded by engineers, Databricks has embarked on a multi-year journey to develop the premier Data Intelligence Platform. We are enhancing a strong foundation to create significantly improved products. From the Storage Engine (data layout, encryption, caching, etc.) to the Query Engine (Vectorization, Query Optimization, etc.), we aim to reimagine every component to deliver the fastest, most user-friendly, and secure data platform for all workloads. As a software engineer, you will be a pivotal member of the Belgrade site, contributing to the foundational team dedicated to realizing our Lakehouse vision. You will engage in the complete development cycle and embody all core Databricks values (ownership, data-driven, teamwork, customer-centric).
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Feb 12, 2026
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