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Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
Pre-sales Solutions Architect at Databricks partners with enterprise clients in manufacturing to drive adoption of the Databricks Data Intelligence Platform, focusing on ML/AI and big data solutions.
Builds and improves Databricks' data and AI platform UI/UX, focusing on scalable frontend features for data workflows, dashboards, and collaborative projects using modern JavaScript frameworks.
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.
Build and evolve Databricks’ core authorization service, migrating permission checks to a unified model and adding fine-grained access controls for users, apps, and workloads.
Build and scale Databricks’ backend infrastructure, including distributed systems and cloud-agnostic platforms, using languages like Java, Scala, or Go.
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.
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