As a Senior Software Engineer, you'll manage billing systems for Databricks products, enhance infrastructure efficiency, and innovate pricing strategies using AI and big data.

The Engineering Manager will lead the Spark Structured Streaming team, overseeing development, recruitment, and adoption of Stream Processing technology. Responsibilities include managing technical debt, driving product vision, and fostering team growth.

This role involves enhancing security measures, leading engineering efforts in data security, and collaborating across teams to safeguard customer data.

You will drive the vision and roadmap for Databricks Repos, defining integration with Git services and enhancing user workflows for data and AI teams.

Design and automate networking for large-scale compute clusters, ensuring robust and scalable connectivity across cloud resources for data and AI workloads.

Lead the strategy and execution of sales compensation, ensuring transparency and effectiveness across tools and communication. Collaborate with multiple departments to enhance the compensation experience through AI and analytics.

Design AI-native BI experiences that make analytics and generative AI intuitive, trustworthy, and actionable. Drive end-to-end product design from exploration to validation to action, collaborate with engineers and product, lead complex projects, engage strategic customers, and define new enterprise AI/BI design patterns.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.

Own product roadmap and strategy for Databricks AI platform capabilities across training, serving, feature stores, vector search and LLM infrastructure. Partner with engineering, GTM, and customer teams to drive enterprise adoption, pricing, and commercialization of ML/AI platform features.

Serve as a trusted Sales Finance advisor: build financial models, analyze KPIs and usage trends, track bookings and forecasts, improve reporting and processes, partner with sales strategy and operations, and deliver executive-level insights and recommendations to finance and sales leadership.

Drive FP&A for consumption growth: analyze large datasets, build and maintain financial and operational models, forecast key metrics, partner with GTM and cross-functional teams, present insights to leadership, and lead process improvements and reporting enhancements.

Lead strategy and execution to transition customers to serverless workspaces. Design frictionless, governed workspace creation flows, solve workspace proliferation with admin tooling, integrate with Unity Catalog and identity, and drive KPIs (e.g., Time to First Workspace, Serverless Adoption) to increase serverless usage.

Define the ecosystem strategy for Databricks, develop frameworks and tools for integrations, mentor engineers, and collaborate cross-functionally.

The Partner Engineer supports partners in building data collaboration strategies on Databricks, focusing on data sharing, governance, and productization, while leading technical engagements and troubleshooting issues.

The Senior Counsel, Employment provides legal advice on U.S. employment matters, oversees disputes, and manages legal projects while collaborating with internal teams.

Lead Databricks' social impact initiative, designing and implementing programs that leverage data and AI for real-world challenges. Responsibilities include managing partnerships, creating content, hosting events, and collaborating across teams to ensure impactful outcomes.

The Staff Technical Program Manager at Databricks will oversee GenAI operations and GPU capacity planning, ensuring successful launch and management of LLM workloads and infrastructure, while driving efficiency and compliance.

Lead a team building and evolving Databricks' compute platform to support all workloads. Hire and grow engineers, improve design/testing/operational practices, drive cross-team initiatives, define long-term strategy and influence architecture to ensure scalability, reliability, and performance of cloud and containerized infrastructure.

The Senior Manager, Finance PMO & Operations will drive efficiency in FP&A through program management, process optimization, and leveraging AI, while aligning with cross-functional teams.

The Senior Product Manager will shape the vision and strategy for Databricks Free Edition, enhance user experiences, collaborate with teams, and track success metrics.