Leads complex technical pre-sales engagements for Utilities customers, advising executives and account teams on adopting the Databricks Data Intelligence Platform. The role requires data or AI expertise, hands-on prototyping, public cloud experience, Python or SQL, and business-professional Japanese fluency.

Build production-grade SAP extensions, integrations, and AI-powered finance workflows across SAP BTP and Databricks. The role requires 6+ years of SAP development experience, modern ABAP, Fiori, integration, cloud engineering, and familiarity with generative AI and agentic applications.

The Named Enterprise Account Executive will drive enterprise sales of Databricks’ data and AI platform in Italy, developing strategic account plans, expanding consumption, and leading complex customer and partner campaigns. The role requires extensive enterprise software sales experience, cloud and data expertise, quota attainment, and fluency in English and Italian.

Owns functional design and configuration for core finance processes on SAP S/4HANA, using process intelligence and AI to drive controlled automation. Requires 6+ years of SAP consulting experience, a complete S/4HANA lifecycle, finance-domain expertise, and strong integration and stakeholder leadership skills.

Own and grow a strategic automotive/OEM account in Germany by shaping data and AI opportunities, building executive relationships, and closing complex enterprise deals. The role requires automotive expertise, technical enterprise sales experience, disciplined account planning, and fluency in German and English.

Leads and develops a team of Specialist Solutions Architects supporting complex technical sales cycles, customer architectures, and strategic data and AI engagements. The role requires substantial technical pre-sales leadership experience, data and AI platform expertise, and strong cross-functional partnership skills.

The Solutions Architect partners with startup-focused sales teams in France to lead technical discovery, design cloud-native data and AI architectures, run evaluations, and drive customer adoption. The role requires at least five years of customer-facing architecture or pre-sales experience, programming skills, and fluency in French and English.

Leads customer-facing architecture and technical pre-sales for Databricks security and cloud infrastructure solutions. The role requires at least four years of cloud infrastructure and security experience, hands-on automation expertise, and experience designing security data platforms.

Leads Mexico field marketing strategy and execution, building full-funnel demand programs that generate measurable pipeline and revenue. The role requires 6+ years of B2B marketing experience, strong sales partnership, CRM and marketing automation expertise, and data-driven budget optimization.

Senior privacy counsel will lead and mature a global privacy compliance program, advise on evolving privacy and AI regulations, assess risk, negotiate data-protection terms, and build governance processes. The role requires 7+ years of legal experience, substantial privacy-program leadership, a J.D., and bar membership.

Leads customer-facing architecture, implementation, and production delivery of end-to-end data and AI solutions on the Databricks platform. Requires 6+ years of engineering experience, cloud expertise, Apache Spark, MLOps, and strong enterprise stakeholder-management skills.

The Startup Account Executive will prospect for, close, and expand startup customer accounts while managing transactional and strategic sales processes. The role requires at least one year of closing experience, technology or SaaS sales background, and a record of exceeding quotas.

Manages commercial delivery of concurrent enterprise big data and analytics engagements across ASEAN and Greater China. The role requires at least four years of project management experience, strong commercial and risk-management skills, and the ability to coordinate customer, account, and delivery teams.

Shapes customer data and AI architectures, leads technical pre-sales engagements, and delivers proofs of concept using the Databricks platform. Requires 8+ years in data engineering, data science, architecture, or consulting, plus big data, distributed systems, coding, and public cloud experience.

The Senior Solutions Architect partners with Spanish customers and Account Executives to design and demonstrate complex big data solutions, guide technical adoption, and deliver proofs of concept. The role requires coding experience, cloud and analytics expertise, strong customer communication, and Spanish-English proficiency.

This customer-facing engineer designs, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. The role requires 6+ years of engineering experience, cloud expertise, Apache Spark proficiency, and the ability to lead technical delivery with enterprise customers.

This enterprise sales professional will acquire and expand strategic accounts, guide complex cloud and big-data sales cycles, and exceed pipeline and revenue targets. The role requires quota attainment, net-new-logo hunting, field sales experience, executive relationships, and the ability to explain complex cloud technologies.

Own strategic public-sector sales in Canada, driving adoption and expansion of a data and AI platform across complex government accounts. The role requires 7+ years of relevant sales experience, fluent French, Canadian government procurement expertise, and the ability to lead multi-stakeholder and partner-driven deals.

Drives strategic enterprise sales and new-logo growth for Databricks across the Benelux region. The role requires at least four years of enterprise SaaS sales experience, strong complex-deal execution, technical sales knowledge, and fluency in English and Dutch.

Leads a small Lakebase engineering team while remaining hands-on with architecture, coding, and distributed-service reliability. The role requires at least five years of engineering experience, technical leadership, people-management readiness, and a bachelor's degree or higher.

Builds generative AI applications, agentic solutions, and structured and unstructured data pipelines that improve revenue operations. The role requires strong Python, SQL, Databricks, CRM, machine learning, and generative AI experience, plus familiarity with B2B sales, marketing, or finance data.

Customer-facing solutions architect helping public sector clients evaluate, design, and implement Databricks data and AI solutions. Requires 7+ years in pre-sales architecture or consulting, distributed data systems expertise, public cloud experience, and a Top Secret clearance.

Leads the operating model for global partner enablement, including governance, planning cadences, dashboards, automation, and cross-regional execution. Requires 10+ years in operational leadership and strong analytical, stakeholder management, and process improvement capabilities.

Provides hands-on architectural leadership for strategic enterprise accounts, designing and implementing Databricks solutions across data engineering, analytics, machine learning, and GenAI. Requires 12+ years in data or technical architecture, strong customer-facing consulting experience, coding ability, and expertise with big data and cloud platforms.

Builds and maintains finance data pipelines, applications, dashboards, and AI-assisted tools on the Databricks platform. The role requires 7+ years of experience across finance systems, data engineering, analytics engineering, or finance and accounting, plus strong SQL and Python skills.

Enterprise Account Executive responsible for expanding Databricks’ retail business in the UK by managing complex multinational accounts, exceeding sales goals, and guiding big data and AI transformations. Requires retail-sector enterprise sales experience, cloud or SaaS expertise, and strong executive and partner engagement.

Architects production-grade machine learning and AI workloads for enterprise customers, with emphasis on GenAI, MLOps, distributed Spark systems, and cloud infrastructure. The role also supports technical sales, mentors colleagues, and requires 10+ years of industry experience plus customer-facing expertise.

Drives enterprise sales growth for Databricks’ data and AI platform in France by expanding strategic customer relationships, identifying use cases, and leading complex partner-supported sales campaigns. Requires extensive enterprise solution-selling experience, cloud or data industry expertise, and fluent French and business English.

Leads architecture and delivery of complex finance data pipelines, AI use cases, and internal applications while partnering with Accounting, FP&A, and Finance leadership. Requires 12+ years of data engineering or finance systems experience, strong SQL/Python and Databricks expertise, and deep finance-domain knowledge.

The Solutions Architect partners with customers and Account Executives to design and demonstrate complex big data solutions, guide Databricks adoption, and communicate technical and business value. The role requires coding experience in Python, Java, or Scala, cloud expertise, and customer-facing architecture experience.

Supports workplace services for Databricks’ London office and regional EMEA locations, coordinating facilities partners, vendors, operational projects, budgets, and service improvements. Requires at least five years of workplace or facilities operations experience and strong cross-functional judgment.

Leads a team of Forward Deployed and AI Engineers delivering enterprise data migrations, modernisation, and AI/GenAI programs across strategic ANZ accounts. Requires substantial people leadership, technical architecture or data/AI engineering experience, and executive stakeholder management.

Drives strategic enterprise sales and data and AI transformation for a major life science customer in Denmark. The role requires complex multinational account management, quota attainment, value-based selling, cloud co-selling, and executive engagement.

Leads global payroll accounting operations, close processes, equity compensation accounting, compliance, automation, and a payroll accounting team. Requires 15+ years of accounting experience, significant payroll expertise, and CA/CPA certification.

Leads end-to-end sales compensation administration, payroll submissions, SOX controls, exception management, and automation for a large payee portfolio. The role requires 10+ years of commissions operations experience, advanced Xactly and modeling skills, cross-functional influence, and practical AI deployment expertise.

Leads a Forward Deployed Engineering team delivering enterprise data migrations, AI/ML platforms, and generative AI solutions. The role combines people leadership, technical coaching, customer escalation management, delivery governance, and strategic stakeholder collaboration.

Grows a strategic consumer goods enterprise account by leading complex sales campaigns, developing business cases, and driving big data and AI transformation. Requires enterprise software sales success, CPG experience, cloud-vendor partnerships, and the ability to lead extended virtual teams.

Build and productionize customer-facing data and AI solutions on the Databricks platform, owning architecture, implementation, and technical delivery. Requires 6+ years of engineering experience, cloud expertise, Apache Spark, ML/AI, and enterprise client engagement skills.

The Senior Security Engineer will investigate, contain, and perform forensics on security incidents while supporting distributed on-call operations. The role also builds AI-enabled response automation and requires cloud security expertise, broad incident response skills, and experience with SIEM, SOAR, and security tooling.

Executes global payroll accounting, reconciliations, equity compensation accounting, variance analysis, and audit support. The role requires a bachelor's degree, 6–8 years of general accounting experience, at least 4 years in payroll accounting, and knowledge of US GAAP and cloud-based systems.

Guides strategic customers through secure, production-grade big data and Databricks implementations, from cloud architecture and networking through deployment and optimization. The role combines customer-facing technical leadership, advanced pre-sales support, security data platform design, and community enablement.

Leads a regional team selling Databricks Lakebase for application modernization, database consolidation, and real-time workloads. The role combines specialist sales leadership, technical customer engagement, enterprise deal strategy, and cross-functional collaboration with Product, Engineering, and sales leadership.

Acquire and close strategic digital-native enterprise accounts across Greater China, guiding customers toward cloud data and AI solutions. The role requires 7+ years of enterprise SaaS sales experience, a consultative approach, and the ability to communicate complex technology value.

Leads technical pre-sales strategy and enterprise adoption of Databricks, partnering with account executives and customer stakeholders on data and AI transformation. Requires experience with large global accounts, cloud platforms, data science, and production programming.

Leads a portfolio of complex Professional Services technical programs, coordinating milestones, dependencies, delivery discussions, and operational improvements. The role requires 5–8 years of technical program management experience, AI workflow proficiency, and Databricks and PMP certifications within six months of hire.

Designs and demonstrates Databricks data and analytics solutions for customers in Auckland, partnering with account teams and influencing technical decision-makers. The role requires technical pre-sales experience, coding proficiency, public-cloud expertise, and strong customer engagement skills.

Drives enterprise account growth for a data and AI platform by expanding consumption, identifying use cases, managing stakeholders, and closing deals. The role requires direct enterprise software sales experience, quota attainment, MEDDPICC expertise, and English fluency; Dutch is preferred.

Drives enterprise sales and adoption of Databricks’ data and AI platform across major insurance accounts. The role requires complex software sales experience, executive relationship ownership, regulated-industry expertise, quota achievement, and collaboration with cloud partners.

Build and own scalable backend infrastructure that optimizes cloud resource utilization and cost attribution across AWS, Azure, and Google Cloud. The role requires 6+ years of distributed-systems engineering experience and strong system-design, optimization, and technical leadership skills.

This role guides customers and field engineers in architecting and productionizing AI/ML workloads, including generative AI, agentic systems, and MLOps. It requires 5+ years of industry ML experience, strong technical communication, and preferably customer-facing pre-sales or post-sales experience.