Jobs at Databricks

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.

Lead and grow a global team of Designated Support Engineers delivering white-glove post-sales technical support. Hire, mentor, and scale the team, drive process improvements and KPIs, coordinate across field, product, and engineering to resolve technical issues, run support QBRs, and advocate for enterprise customer needs to improve satisfaction and time-to-mitigation.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML/AI integrations, and guide enterprise customers through adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders to deliver measurable outcomes. Contribute reusable frameworks and technical feedback while supporting customer training, documentation, and strategic initiatives.

Support multiple R&D executives by managing complex calendars, scheduling, travel and expenses, meeting preparation, action-item tracking, events, and confidential information. The role coordinates across time zones and teams, supports engineering planning cycles, improves administrative workflows, and partners with other assistants and site operations. It requires autonomous judgment, strong communication, discretion, process improvement skills, and occasional evening schedule flexibility for U.S.-based meetings.

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.

Lead design and implementation of scalable, fault-tolerant data ingestion systems for the Lakehouse. Build connectors, optimize performance, debug large production clusters, drive architecture and cross-product integration, mentor engineers, and lead technical initiatives.

As a Staff Software Engineer, you will lead the design and development of Databricks' Data Intelligence Platform, build data pipelines, and guide engineering teams in architectural efforts.

Own product or infrastructure direction for a major engineering area at Databricks. Design and deliver highly scalable, available, fault-tolerant distributed systems; debug and optimize large production clusters; investigate production issues; shape architecture and product roadmaps; and lead complex, cross-functional technical projects. Mentor senior engineers, contribute to recruiting, lead engineering initiatives, and support technical planning and team leadership.

Drive enterprise sales of Databricks’ cloud data platform to financial services customers. Build relationships with CIOs and other executives, generate net-new opportunities, manage short and complex sales cycles, close new and existing accounts, exceed pipeline and revenue targets, track forecasts in Salesforce, and communicate solution value to customers and system integrators.

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Leads customer-facing technical engagements, including discovery, solution design, architecture reviews, proofs of concept, and live demonstrations on the Databricks Platform. Develops account-level technical strategies with Account Executives, explains competitive differentiation, and builds reusable technical assets. The role requires strong Python and SQL skills, cloud data solution experience, distributed systems knowledge, presentation ability, and expertise in data engineering, analytics, or machine learning.

Provide technical leadership for Customer Lake adoption, guiding strategic customers through Customer 360 architecture, data engineering, identity resolution, audience activation, agent deployment, workshops, demos, POCs, and implementation strategies. Advise marketing, MarTech, data, and analytics leaders; collaborate with account teams and GSIs; resolve complex tier-three technical issues; create customer collateral; influence product roadmaps; and improve sales qualification and POC intake processes.

Lead customer technical engagements across discovery, solution design, architecture reviews, proofs of concept, and live Databricks demonstrations. Design data engineering, analytics, and machine learning solutions; build production-quality code and reusable technical assets; manage frontline technical relationships; and partner with Account Executives on account strategies that expand platform adoption and consumption.

Provides technical leadership and pre-sales guidance for Databricks Customer Lake implementations. Designs customer data, CDP, Lakehouse, identity resolution, audience activation, personalization, and agentic AI solutions; leads executive engagements, workshops, demos, POCs, and technical collateral. Partners with account teams, GSIs, and consulting organizations to drive adoption, influences product roadmaps, handles tier-three escalations, improves qualification processes, and mentors field teams.

Own global GTM enablement for a Databricks product area, creating scalable technical content, competitive narratives, demos, labs, AI-powered tools, and learning programs for Solutions Architects and partner technical sellers. Partner with Product and Engineering to translate roadmaps into field-ready assets, establish feedback loops, measure field readiness and deal outcomes, and support selected customer-facing engagements. Build enablement programs from scratch while remaining hands-on with data and AI platforms.

Leads end-to-end technical strategy for customer accounts, including architecture design, platform adoption, production deployment, and consumption growth. Advises senior technical stakeholders, designs scalable data engineering, AI/ML, streaming, and analytics solutions, demonstrates competitive differentiation, coordinates cross-functional technical resources, and provides product feedback. The role also requires live coding, architecture presentations, and development of a technical specialization.

Lead technical strategy for customer accounts, guiding architecture discussions, platform adoption, production deployments, and consumption growth. Design scalable solutions across data engineering, machine learning, AI, and real-time analytics. Advise senior technical stakeholders, develop a technical specialization, coordinate cross-functional resources, demonstrate competitive platform advantages, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, cloud deployment experience, and excellent communication skills.

Build trusted technical relationships with customers across Italy and guide adoption of Databricks’ Data Intelligence Platform. Partner with account executives on technical sales, use-case discovery, proofs of concept, and complex solution architecture. Create reference architectures, how-to materials, demo applications, and lead workshops and meetups. Apply coding and big data analytics expertise across public cloud platforms while communicating technical and business value to diverse audiences.

Source and engage corporate talent from Manager through VP and Executive levels. Develop search strategies, market maps, diverse pipelines, and passive-candidate relationships across functions including HR, Finance, Legal, Marketing, and Operations. Partner with hiring managers, recruiters, and HR business partners to calibrate profiles, conduct screens, provide market intelligence, track sourcing metrics, and manage multiple leadership searches.

Lead the global workplace events and experiences strategy across regions. Plan and execute workplace events, business meetings, trainings, executive gatherings, and community activations while managing vendors, budgets, staffing, safety, and stakeholder relationships. Develop global playbooks, SLAs, operational processes, communications plans, and success metrics. Partner with internal teams and outsourced providers, oversee event technology and production, and mentor workplace specialists to deliver consistent, high-quality experiences.