Jobs at Databricks

Lead customer-facing technical discovery, solution architecture, proofs of concept, platform demonstrations, and architecture reviews for data engineering, analytics, and machine learning workloads. Develop account-level technical strategies with Account Executives, explain competitive differentiation, and build reusable notebooks, accelerators, and reference architectures. The role requires hands-on coding, cloud data platform expertise, distributed systems knowledge, strong presentation skills, and technical customer leadership.

Senior legal counsel supporting international channel and partner programs for a high-growth technology company. Responsibilities include drafting and negotiating partner agreements, developing scalable channel models, assessing compliance risks across jurisdictions, advising on privacy, security, AI, and intellectual property issues, creating training, and collaborating with commercial, operations, compliance, and business teams.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications. Guide enterprise customers, manage technical delivery, train stakeholders, resolve implementation issues, and create reusable frameworks. Collaborate with engineering, product, project management, support, and customer teams while traveling to customers approximately 20% of the time.

Manage strategic State and Local enterprise accounts across New York, balancing expansion of existing customers with new-logo acquisition. Responsibilities include complex sales cycles, executive presentations, pipeline and revenue growth, Salesforce forecasting, solution-based selling, customer satisfaction, and strategic resource prioritization. The role promotes Databricks’ cloud data platform and requires strong relationships with public-sector executives, system integrators, and regional agencies.

Strategic enterprise sales professional responsible for growing strategic financial services accounts, closing new and existing business, managing complex sales cycles, exceeding pipeline and revenue targets, and selling Databricks’ cloud data platform powered by Apache Spark. The role requires executive-level relationship building, solution-based selling, Salesforce forecasting, opportunity prioritization, and collaboration with customers and system integrators.

Develop customer engagement strategies, lead complex technical presales engagements, and architect data analytics solutions using the Databricks Data Intelligence Platform. Influence executives and stakeholders, guide proofs of concept and cloud integrations, coach junior Solutions Architects, and create customer-facing technical content. Lead workshops and community events while helping customers prioritize use cases, adopt the platform, and achieve long-term success. Travel may be required up to 30%.

Lead the design and development of sales data models, CRM-integrated AI agents, and permissioned write paths for revenue teams. Build scalable GenAI interfaces for complex workflows with transparency and human approval. Partner with product, design, and engineering teams to define initial use cases, launch MVPs, and drive adoption. Provide technical and people leadership in a 0-to-1 product environment.

Leads scalable advertising data ingestion, normalization, aggregation, identity resolution, and agentic workflow development. Establishes correctness and evaluation standards for noisy measurement data, while partnering with product, design, and engineering teams to deliver scalable solutions. Requires deep advertising API and ad-tech measurement expertise, production LLM experience, and technical and people leadership in complex enterprise environments.

Leads customer technical strategy, architecture discussions, Databricks adoption, and production deployments. Designs scalable solutions across data engineering, machine learning, AI, real-time analytics, distributed data systems, streaming, lakehouse architectures, and cloud platforms. Advises senior technical stakeholders, drives competitive technical wins, coordinates cross-functional resources, develops technical specialization, and influences product direction through customer feedback.

Lead and grow a regional Lakebase specialist sales team to drive adoption of Databricks for operational, real-time, and transactional workloads. Own regional revenue targets and pipeline, coach specialists on deal strategy and technical qualification, execute developer/platform sales motions, engage senior technical executives and partners, and provide field feedback to product and GTM teams.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions while implementing end-to-end systems involving data engineering, pipelines, distributed computing, ML/AI models, and applications. Partner with customers, project managers, architects, engineering, and support teams to deliver measurable outcomes, guide adoption, resolve issues, and create reusable technical assets. The role requires customer immersion, enterprise stakeholder management, technical project delivery, and 20% customer travel.

As a Staff Software Engineer at Databricks, you'll lead development of AI-driven products, creating user-centric designs in a startup environment. You'll collaborate with cross-functional teams to build scalable solutions and establish best practices for impactful AI applications.

The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.

The role involves developing intuitive interfaces and solutions for generative AI applications while collaborating with cross-functional teams to drive product growth and strategy.

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

As a Staff Backend Software Engineer at Databricks, you will enhance AI infrastructures, improve distributed workloads, and collaborate with teams to create seamless AI applications.

Lead development of CustomerLake personalization using ML and LLMs: evaluate and improve models in production, build evaluation and optimization frameworks tied to business metrics, partner with product and design to deliver scalable MVPs, and set technical best practices for ML/AI personalization.

Build enterprise-grade backend services and admin experiences for CustomerLake: permissions, access control, auditability, governance, pricing/entitlement, and scalable APIs. Translate admin and security requirements into reliable product features, own projects end-to-end, and collaborate with product, design, security, and infrastructure teams to deliver secure, compliant, and scalable SaaS capabilities.

Sell Databricks enterprise cloud data platform to Financial Services customers. Manage full sales cycle with CIOs and IT/LOB execs, close new and expansion deals, track pipeline in Salesforce, exceed quota, and drive customer satisfaction and internal account plans.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.