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Lead a team building and scaling Databricks' Identity and Access Management systems, ensuring secure, reliable authentication and authorization at cloud scale for the world's top data and AI platform.
P-1110 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…
Research intern at Databricks focusing on adapting large language models and AI systems for enterprise domains using deep learning, PyTorch, and domain adaptation techniques.
Leads a backend engineering team at Databricks, building scalable distributed systems and infrastructure for data/AI workloads across cloud providers.
Build and scale Databricks' backend infrastructure and services, including serverless platforms, cloud systems, and partner integrations, using languages like Java, Scala, or Go.
Full-cycle recruiting for technical GTM roles in India, including Solutions Architects and Field Engineers, to support Databricks' AI platform growth.
Designs and builds autonomous data systems for Databricks' Managed Tables, optimizing storage and performance at massive scale using distributed systems and AI-driven tools.
Lead the design and development of Databricks Unity Catalog’s enterprise-grade data governance features, setting technical direction for security, scalability, and usability while mentoring engineers.
Designs and builds reusable UI components and frontend architecture for Databricks' data and AI platform, using modern JavaScript frameworks and TypeScript.
Lead the product strategy for data security on Databricks' Lakehouse platform, defining policies and controls to meet privacy and regulatory needs while simplifying access for enterprise customers.
Designs and builds distributed data storage and processing systems for Databricks' big data platform, focusing on Apache Spark, Delta Lake, and cloud storage backends like AWS S3 and Azure Blob Store.
Designs and builds Databricks' billing, pricing, and cost-optimization systems, ensuring accurate usage tracking and seamless customer billing across AWS, GCP, and Azure.
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 breakthroughs. We…
Lead the technical vision and build the control plane for Lakebase, a managed Postgres layer that unifies operational data, analytics, and AI. Hands-on role in Go/Rust, PostgreSQL, and Kubernetes.
Build and lead the Spark Structured Streaming engine, designing state-of-the-art stream processing features and improving latency, throughput, and cost for Databricks’ data and AI platform.
Builds and maintains Databricks' data intelligence platform, focusing on full-stack development to enable scalable data workflows, visualization, and collaborative analytics using modern web and cloud technologies.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
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