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A senior engineer at Databricks designs and scales core data platforms like workspaces and notebooks, using distributed systems in Python/Java/Scala to support 10X–100X growth and improve developer experience.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
Builds and optimizes distributed data storage and processing systems for Databricks' big data and AI platform, working on projects like Apache Spark, Delta Lake, and performance engineering.
A senior engineer leads the architecture and development of user onboarding and activation flows for a cloud-based data platform, guiding a team to improve customer adoption and growth.
Design and build Databricks' global service-to-service communication systems, including ingress control, service discovery, load balancing, and overload protection across multi-cloud environments.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud technologies, and resource management.
Builds and maintains the backend infrastructure that lets AI researchers and engineers quickly set up, run, and debug training and serving environments on Databricks’ AI platform.
Designs and builds next-generation database engine internals for a unified data and AI platform, focusing on query optimization, distributed execution, and storage systems using technologies like Apache Spark.
Builds and optimizes distributed data storage and processing systems like Apache Spark and Delta Lake to power large-scale analytics and AI workloads on cloud platforms.
Builds and maintains full-stack web applications for a GenAI observability product, using modern JavaScript frameworks, cloud technologies, and scalable backend systems.
Senior Software Engineer builds and scales Databricks' multi-cloud infrastructure, including Kubernetes clusters, API gateways, and CI/CD systems, using Java, Scala, Go, C++, or Python.
A Solutions Architect at Databricks partners with large healthcare/life sciences clients to design and drive adoption of data, AI, and ML solutions, leveraging cloud and big data technologies.
P-138 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
Leads product strategy and roadmap for Databricks' Lakeflow data engineering platform, defining features for data ingestion, transformation, and streaming while collaborating with cross-functional teams to integrate Data Engineering across the company's data and AI portfolio.
A senior data scientist at Databricks builds and deploys ML models to solve business problems like churn prediction and product analytics, using Python, Spark, and SQL while collaborating with engineering and product teams.
Builds and deploys data science models and tooling to drive strategic decisions and improve Databricks' internal data infrastructure using Python, SQL, and Spark at massive scale.
Designs and deploys ML models to detect fraud and abuse on Databricks’ data and AI platform, while collaborating with security and engineering teams to enforce compliance and protect customer data.
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
Design and build AI-powered systems to help Databricks customers resolve technical issues faster using LLMs and retrieval systems, operating at the intersection of product development and machine learning.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
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