Databricks

Lead Solutions Architect for Databricks' Public Sector in Japan, focusing on defining and executing data and AI strategies for government clients. The role involves owning technical strategy, leading solution design for various use cases, ensuring security and compliance, and influencing the ecosystem to drive adoption and mission outcomes. Requires deep public sector experience in Japan, strong technical background in data/AI/cloud architecture, and excellent communication skills in Japanese and English.

Pre-sales Solutions Architect role at Databricks, focusing on data, AI, and big data solutions on public clouds. The role involves guiding technical evaluation phases, acting as a technical advisor to the sales team, and collaborating with product teams to help customers achieve data-driven outcomes using the Databricks Data Intelligence Platform. Responsibilities include creating reference architectures, migration plans, and demo applications, integrating Databricks with third-party applications, leading workshops, and engaging with the technical community. Requires experience in pre-sales or post-sales with external clients, public cloud architecture design, and basic technical understanding of data, ML/AI, and SQL.

Pre-sales Solutions Architect for Financial Services at Databricks, focusing on guiding technical evaluations, advising sales teams, and integrating the Databricks Lakehouse Platform into enterprise ecosystems. The role involves hands-on work with Big Data, Analytics, AI, Data Engineering, and Data Science problems, supporting customer adoption and authoring reference architectures.

Pre-sales Solutions Architect for Databricks Lakehouse Platform, focusing on Retail/CPG sector. Guides technical evaluation, acts as a technical advisor, and integrates Databricks with 3rd-party applications. Requires experience in Big Data, AI, Data Science, Data Engineering, and public cloud architectures.

Pre-sales Solutions Architect for Databricks' Lakehouse Platform, focusing on Analytics, AI, Big Data, and Public Cloud within the Digital Native sector. The role involves guiding technical evaluations, acting as a technical advisor to sales, advocating for customers to product teams, and helping clients achieve data-driven outcomes by integrating Databricks into their enterprise ecosystems. Responsibilities include architectural expertise, leading prospect evaluations, authoring reference architectures, integrating third-party applications, and engaging with the technical community through workshops and seminars. Requires pre-sales or post-sales experience, understanding of customer-facing roles with strengths in Data Engineering or Data Science, experience with public cloud architectures, Big Data technologies (including Spark, AI, Data Engineering), and fluent coding in Python or Scala. Fluency in Japanese and English is also required.

Pre-sales Solutions Architect for Databricks in the Kansai region, focusing on driving technical evaluations and solution designs for customers using the Databricks Lakehouse Platform. The role involves guiding customers on their data and AI strategy, integrating Databricks with third-party applications, and acting as a technical advisor.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of Databricks platform workloads. The Delivery Solutions Architect will act as the post-sale technical lead, collaborating with sales and field engineering teams to guide customers, build executive relationships, and drive the successful implementation and consumption of Databricks solutions. The role requires strong technical project delivery experience in Data and AI, customer-facing experience, and program management skills.

Partner Solutions Architect role focused on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes, involving technical enablement, workshops, and solution development using technologies like Apache Spark, MLflow, and Delta Lake.

This role is for an Enterprise Account Executive focused on the Public Sector in Japan. The primary responsibility is to drive sales and adoption of Databricks' data and AI platform within government ministries, local governments, and public institutions. The role involves managing the full sales cycle, building executive relationships, and collaborating with internal and partner teams to support digital government initiatives. Key aspects include exceeding revenue targets, developing territory strategies, expanding platform usage in new accounts, identifying AI and data use cases, and using a value-based sales approach. Experience in SaaS, cloud, AI, or big data sales within the Japanese public sector is required, along with a deep understanding of public sector priorities, procurement processes, and compliance frameworks.

The Engagement Manager role at Databricks focuses on ensuring customer success by managing the entire lifecycle of customer engagements, from initial orchestration to successful delivery and follow-up. This strategic role partners with Sales, Customer Success, Support, and Product teams to maximize customer value from Databricks' products and services, driving professional services and training bookings and revenue.

Enterprise Account Executive role focused on acquiring and growing Databricks customers in the Financial Services Industry (FSI) vertical. Responsibilities include securing new logos, expanding use cases in existing accounts, building C-level relationships, and driving negotiations and growth of Databricks usage. Requires experience selling complex software deals, specifically to FSI customers in Japan, and knowledge of sales methodologies and SaaS solutions, including Data/AI/ML technologies.

Enterprise Account Executive focused on selling Databricks' data and AI platform to high-growth, digital native companies in Japan. The role involves closing new accounts, growing existing ones, and influencing customer data strategies by demonstrating product value and exceeding sales targets.

Director, Field Engineering in Japan to lead first-line Managers and teams of pre-sales Solutions Architects, focusing on complex, strategic accounts and driving expansion in manufacturing and automotive. Partner with Sales to grow product consumption, coach teams, articulate complex solutions, support enterprise sales cycles, and build trusted relationships with senior stakeholders.

Sales role focused on selling Databricks' data and AI platform to emerging enterprise accounts in Japan.

This role provides technical support and guidance for the Databricks unified analytics platform, assisting customers with complex issues, architectural scenarios, and best practices across the Big Data ecosystem. It requires strong application development experience (Python/Java/Scala), SQL, Linux/Unix administration, and cloud platform knowledge (AWS/Azure/GCP).

Enterprise Account Executive - Hunter role focused on identifying, acquiring, and growing new business opportunities for Databricks' Data Intelligence Platform, which unifies and democratizes data, analytics, and AI. The role involves securing new logos, driving revenue growth, building C-level relationships, and understanding customer business needs to deliver tailored solutions. Experience selling complex software deals, PaaS/SaaS solutions, and Data/AI/ML technologies is required.

Manager, Enterprise Presales for Databricks in the Kansai region, focusing on building and leading a team of Solutions Architects to drive revenue and support complex sales cycles within enterprise accounts. Requires experience in managing technical teams, pitching solutions, and understanding data-driven decisions, AI, and Cloud software.

This role is a Delivery Solutions Architect at Databricks, focused on helping customers leverage the Databricks platform for data and AI challenges. The role involves technical guidance, driving adoption, and ensuring customers achieve value from their Databricks workloads, particularly for complex enterprise clients. It requires a blend of technical and business acumen, stakeholder management, and collaboration with sales, field engineering, and internal expert teams.

Databricks is seeking a Technical Escalation Manager in Tokyo, Japan, to coordinate the resolution of critical customer issues and major incidents. This role involves working with internal engineering, product management, and customer success teams, as well as external partners, to ensure timely and effective resolution. The manager will create data-driven recovery plans, analyze trends, and utilize business and technical skills to manage escalations and improve incident management processes. A minimum of 8 years of experience in customer support, escalation, SRE, or incident management is required, along with strong communication skills, cloud experience (AWS, Azure, GCP), and proficiency in both Japanese and English.

Enterprise Account Executive for Databricks in Tokyo, Japan, focusing on the Media vertical. The role involves acquiring and growing strategic accounts, establishing C-level relationships, and driving the adoption of Databricks' Data Intelligence Platform.

Databricks is seeking a Business Development Representative to drive revenue growth in the Japanese market by identifying and qualifying sales opportunities. This role involves value-based selling of enterprise software, with a focus on big data and AI solutions.

Enterprise Account Executive role focused on acquiring and growing Databricks customers in the Manufacturing vertical in Japan. The role involves selling complex software deals, understanding customer business needs, and expanding Databricks use cases.

Enterprise Account Executive for Databricks in the Kansai region, focusing on acquiring and growing enterprise accounts in the Manufacturing sector. Responsibilities include securing new logos, expanding use cases, building C-level relationships, and driving sales growth for Databricks' data, analytics, and AI platform.

Strategic Account Executive for Databricks, focusing on the Manufacturing vertical in Tokyo. Responsibilities include driving growth, expanding use cases, building C-level relationships, and closing new accounts. Requires extensive experience in complex software sales, understanding of the Manufacturing domain, and familiarity with Data/AI/ML technologies.