Leads and scales a pre-sales Solutions Architect organization in Germany while remaining involved in strategic customer engagements. The role combines people management, sales partnership, executive stakeholder engagement, and responsibility for adoption and consumption growth in a data and AI platform business.

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.

Delivers customer-facing Databricks projects, including data and AI architecture, migration, implementation, and technical support. Requires 8+ years of big data and consulting or technical architecture experience, plus Python or Scala expertise and strong project delivery skills.

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 strategic sales of a data and AI platform to Canadian public sector organizations, owning the full sales cycle, executive relationships, account expansion, and partner orchestration. Requires 7+ years of public sector SaaS, cloud, AI, or big data sales experience and expertise in Canadian government procurement.

Drives enterprise adoption and revenue for Databricks Lakebase, a managed Postgres service, through complex sales cycles with technical and business stakeholders. The role requires enterprise SaaS selling experience, database or data-infrastructure expertise, and the ability to lead specialist motions with account teams.

Leads and scales a Field Engineering pre-sales organization serving strategic BFSI and digital enterprise customers in India. The role combines team building, executive customer engagement, value-based selling, and expertise in data, AI, cloud, Apache Spark, and Databricks.

Drives enterprise adoption and revenue for Databricks Lakebase, a managed Postgres service for operational and AI-native applications. The role requires 7+ years of complex SaaS sales experience, database or data-platform expertise, specialist-overlay leadership, and the ability to engage technical and executive buyers.

Leads complex, customer-facing technical programs and digital transformations for Professional Services, establishing scalable operating standards and aligning Product, Engineering, Marketing, and executive stakeholders. Requires 8–12+ years of large-scale technical program leadership and advanced Databricks fluency.

The Senior Solutions Architect will guide enterprise adoption of the Lakebase transactional database product, designing customer solutions, leading technical engagements, and influencing product strategy. The role requires extensive OLTP expertise, customer-facing pre-sales experience, cloud proficiency, and strong SQL and Python skills.

Delivers end-to-end data and AI solutions for enterprise customers on the Databricks platform, owning architecture, implementation, and production deployment. The role requires strong software or data engineering experience, cloud expertise, Apache Spark knowledge, and customer-facing project delivery skills.

Leads a team of Solutions Architects supporting Financial Services customers through technical pre-sales, architecture guidance, demonstrations, and data and AI solutions. Requires experience managing technical pre-sales teams and deep expertise in data platforms, analytics, data engineering, or machine learning.

Drives enterprise adoption and revenue for Databricks Lakebase, a managed Postgres service for operational and AI-native applications. The role requires 7+ years of complex SaaS sales experience, strong database and cloud architecture knowledge, and the ability to engage technical and executive buyers.

Drives enterprise adoption and revenue for Databricks Lakebase, a managed Postgres service for operational and AI-native applications. The role requires 7+ years of enterprise SaaS sales experience, strong database and cloud architecture knowledge, and success engaging technical and executive stakeholders.

Leads and develops a regional team of Delivery Solution Architects responsible for post-sales technical strategy, customer architecture, and accelerating enterprise data and AI workloads into production. Requires 7+ years of customer-facing experience and technical post-sales leadership in SaaS and data platforms.

Leads complex customer implementation and professional services programs across Latin America, while driving services sales, account growth, and customer value realization. Requires extensive senior customer-facing experience, professional services leadership, and strong Databricks and cloud-partner knowledge.

Leads technical strategy and executive advisory for strategic greenfield data and AI engagements across the Nordics. The role requires 8+ years in technical, client-facing work, strong architecture expertise, and the ability to drive adoption and alignment through ambiguity.

Owns acquisition, expansion, and revenue growth across public-sector and other focus accounts in Singapore. The role requires 7+ years of SaaS sales experience, enterprise selling success, and the ability to communicate complex cloud and big-data solutions to business and technical buyers.

This senior solutions architect advises complex enterprise customers on adopting the Databricks Data Intelligence Platform, leading technical pre-sales engagements, proofs of concept, architecture design, and executive stakeholder alignment. The role requires experience in data engineering, warehousing, or AI/ML, plus Python or SQL and public cloud expertise.

Leads and scales a technical pre-sales organization serving Qatar and Africa, partnering with Sales, customers, and implementation teams on complex data and AI solution sales. Requires experience managing Big Data, cloud, or SaaS professionals and a technical or consulting background.

Builds and operates resilient, observable cloud infrastructure and automation for internal IT services. The role requires 5+ years of production software engineering experience, strong Python skills, infrastructure-as-code expertise, and hands-on cloud and container experience.

The Manager will scale APJ partnerships go-to-market strategy through revenue planning, forecasting, analytics, dashboards, and cross-functional process design. The role requires 7+ years in sales strategy, business development, or channel management, plus experience with enterprise technology partner ecosystems across APJ.

The Lakebase Sales Specialist drives enterprise adoption and revenue for Databricks’ managed Postgres service, partnering with regional Account Executives on complex strategic deals. The role requires 7+ years of enterprise SaaS sales experience, technical data-platform fluency, and strong executive-level value selling.

Resolves complex Databricks customer escalations by analyzing logs and metrics, troubleshooting distributed data environments, and bridging frontline support with engineering. The role requires 7+ years of experience, strong Python or Shell scripting, cloud expertise, Linux and networking skills, and a bachelor's degree.

The Senior Solutions Engineer helps Digital Native and Scaleup customers in Spain adopt Databricks by designing architectures, delivering proofs of concept, and demonstrating business value. The role requires customer-facing technical sales experience, coding skills in Python or SQL, big data and cloud expertise, and Spanish and English proficiency.

Provides technical leadership for strategic customers, designing data and AI architectures, proofs of concept, and cloud integrations on the Databricks platform. The role requires 8+ years of relevant experience, strong consulting and customer-facing skills, coding ability, and expertise in big data technologies.

Grows strategic Retail/CPG enterprise accounts in Japan by expanding Databricks use cases, building executive relationships, and orchestrating internal teams and partners. Requires 7+ years selling complex enterprise software deals and experience with SaaS or data, AI, and ML technologies.

Leads customer-facing Databricks professional services and training engagements, from scoping and commercial modeling through delivery and follow-up. The role requires strong data and AI knowledge, executive communication, program governance, services estimation, and KPI ownership.

Leads strategic enterprise sales for Databricks’ cloud data platform, focusing on financial services accounts, executive relationships, complex sales cycles, and quota attainment. Requires field sales experience in cloud, SaaS, or big data and at least seven years exceeding sales quotas.

Enterprise sales professional responsible for winning and expanding FSI accounts, managing complex sales cycles, and exceeding pipeline and revenue targets. Requires 7+ years of enterprise sales experience, strong executive relationships, and the ability to explain complex cloud technologies.

Strategic enterprise hunter responsible for acquiring net-new telco accounts and expanding existing relationships through complex cloud, SaaS, and big-data sales. The role requires field sales expertise, executive relationships, solution selling ability, and at least seven years of quota-exceeding experience.

Leads post-sale technical adoption and production delivery for Databricks data and AI workloads, partnering with sales, engineering, Professional Services, and customer executives. Requires 8+ years in technical data/AI delivery, customer-facing architecture or consulting, programming, distributed systems, and complex program management.

The Solutions Architect advises sales teams and customers on Databricks data and AI architectures, develops proofs of concept, and validates cloud integrations. The role requires 8+ years of experience in data engineering, data science, technical architecture, or pre-sales consulting, plus strong big data and cloud expertise.

Leads customer-facing architecture and hands-on delivery of production data and AI solutions on the Databricks platform. The role requires extensive data or software engineering experience, cloud expertise, Apache Spark proficiency, and strong technical project delivery skills.

Leads technical strategy and solution architecture for strategic Japanese public sector customers, designing secure Databricks data and AI platforms and guiding pilots into production. Requires at least five years in data, analytics, or cloud architecture, substantial Japan public sector experience, and native-level Japanese.

Leads and develops a regional technical support organization in India, resolving complex SaaS and data-platform customer issues while improving operations and customer adoption. Requires 15+ years in technology, 6+ years managing technical support engineers, and hands-on cloud and troubleshooting expertise.

Leads Databricks’ EMEA Retail and Consumer Goods go-to-market strategy, building partner ecosystems, scalable sales programs, executive relationships, and industry thought leadership. Requires senior Retail or Consumer Goods experience, enterprise transformation expertise, data and AI fluency, and English plus French or German proficiency.

The Senior Solutions Architect will design and demonstrate end-to-end data and AI solutions, guide enterprise customers through technical pre-sales engagements, and deliver complex proofs of concept. The role requires strong data science, generative AI, programming, cloud, and customer-facing expertise, plus coaching experience.

Build scalable, high-performance frontend experiences for creating, editing, and exploring data dashboards. The role requires 5+ years of software engineering experience, strong React or similar framework expertise, and experience with frontend and backend systems.

Build scalable full-stack products that simplify data insights across Databricks’ analytics and AI platform. The role requires strong front-end architecture, modern JavaScript and server-side development experience, SQL, cloud technologies, and large-scale distributed systems expertise.

Leads the design, rollout, and adoption of enablement programs for Databricks Technical Support Engineers, partnering with support leaders and subject-matter experts. The role requires technical-audience enablement experience, technical support knowledge, cross-functional stakeholder management, and strong analytical skills.

Provides high-touch technical support for strategic customers by resolving complex Apache Spark and data engineering issues, managing critical cases, and coordinating with internal teams. Requires at least three years of data engineering and application development experience plus strong customer communication and troubleshooting skills.

The Senior Product Manager will shape strategy and roadmap for Lakeflow Jobs, focusing on orchestration, authoring, triggers, and observability for data and AI workflows. The role requires 5+ years of experience, product management expertise, and technical fluency in orchestration tools, data pipelines, SQL, and Python.

Build reliable, secure, high-performance backend services and client libraries for Databricks’ cloud data platform. The role requires 5+ years of production software experience, distributed-systems expertise, and proficiency in Java, Scala, C++, or a similar language.

Build large-scale backend systems for Databricks’ data and AI platform, spanning distributed processing, cloud infrastructure, governance, and application runtimes. The role requires 5+ years of production experience in Java, Scala, or C++, plus expertise in distributed systems, SaaS architectures, cloud technologies, security, and SQL.

Develop and deploy scalable machine learning and AI systems for user-facing products, including forecasting and AutoML capabilities. The role requires strong production ML engineering, modeling, software engineering, statistics, and systems knowledge.

Senior software engineer responsible for designing and building distributed data infrastructure, from requirements and technical design through production rollout and monitoring. Requires 5+ years of production experience in Java, Scala, or C++ plus expertise in distributed systems, databases, and big data.

Leads a team of Partner Solutions Architects supporting consulting and systems-integrator partners with lakehouse architecture, data and AI solutions, and Databricks adoption. Requires 8+ years in senior pre-sales or post-sales roles, technical data expertise, and experience building teams in hyper-growth environments.

Build scalable, fault-tolerant data ingestion systems for Lakeflow Connect, processing hundreds of terabytes daily across thousands of customers. The role requires 5+ years of production software engineering experience, distributed-systems expertise, and hands-on backend development.

Design and build next-generation database query and storage systems, contributing to query optimization, distributed execution, vectorized processing, and efficient storage. The role requires 5+ years of related systems experience and values expertise in databases, distributed systems, language design, or performance optimization.