Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Resident Solutions Architect This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The primary responsibilities involve data engineering, data science, and cloud technology projects, including building reference architectures, MVPs, and guiding customers through big data and AI application implementations. The role requires strong technical skills in SQL, Python/Scala, cloud ecosystems, and DevOps, with a focus on customer success and technical project delivery. | — | 5 |
| ソリューションアーキテクト (プリセールス) 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. |
| — |
| 5 |
| Delivery Solutions Architect 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. | — | 5 |
| Partner Solutions Architect 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. | — | 5 |
| Director, Field Engineering 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. | — | 0 |
| Senior Technical Solutions Engineer (Platform) 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). | — | 0 |
| デリバリーソリューションアーキテクト 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. | — | 0 |
| Technical Escalation Manager 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. | — | 0 |